Taskflow Doc Search
What it does
Search local TaskFlow workspace documentation and read tickets over MCP stdio.
- Connects Runs on your computer
- Account or key No key needed · 1 setting to fill in (AI_WORKSPACE_ROOT)
- Category Search & AI memory
Install
Pick the AI app you use, then copy the settings.
Passed 3/3 checks · Runs on your computer · ✓ Commands checked Nov 15, 2026
First: which AI do you use?
Pick your app and the steps appear below.
Works with Claude, with some setup first
1 setting(s) to fill in (AI_WORKSPACE_ROOT) · Install Python (uv) on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
Let AI install it
Copy this message into a Claude chat. The AI checks your computer, tells you which file it will change, and waits for your OK every time.
Please install the MCP server Taskflow Doc Search for Claude on this computer, in this order: 1) Check uv with uv --version. If it is missing, tell me to install it from https://docs.astral.sh/uv/getting-started/installation/; do not install it yourself. 2) Use only this config (already checked by PopNx MCP): { "mcpServers": { "taskflow-doc-search": { "command": "uvx", "args": [ "taskflow-doc-search" ], "env": { "AI_WORKSPACE_ROOT": "your-value" } } } } 3) Tell me the full path of the file you will change, or the command you will run, and wait for my OK. 4) For AI_WORKSPACE_ROOT, leave "your-value" in place and tell me to paste the real value myself into the file or the app’s field. Never ask me to type a key in chat. 5) Do what we agreed, then check that the Taskflow Doc Search tools really show up.This message has no key in it. If a key is needed, the AI will ask you to paste it yourself into the file or the app’s field.
Install uv (if you don’t have it)
Already installed? Check first · Open Terminal, type this command and press Enter
uv --version- A version number such as uv … = installed, skip this step
- "command not found" (on Windows: "is not recognized") = not installed yet, or installed but Terminal needs to be closed and reopened
How to open Terminal
Mac: press ⌘ + Space, type Terminal, press Enter
Windows: open Start, type Windows PowerShell, then Open
Not installed: uv has no click-through installer. Copy the one-line command for your system (macOS or Windows) from uv’s official page into Terminal · no separate Python install needed; uv downloads it when required
When it’s done, close Terminal, open it again and run the same command. You should see a version number:
uv --versionInstall once; it works for everything that needs uv
Fill in 1 setting(s)
These are program settings, not keys. No sign-up needed; fill them in as the maker describes.
AI_WORKSPACE_ROOTAbsolute path to the workspace containing projects/ and tickets/.
Descriptions are as written by the maker.
Open the Claude desktop app’s settings file
SettingsDeveloperEdit Config
Paste these settings and save the file
{ "mcpServers": { "taskflow-doc-search": { "command": "uvx", "args": [ "taskflow-doc-search" ], "env": { "AI_WORKSPACE_ROOT": "your-value" } } } }Quit Claude and open it again
Try it
Use Taskflow Doc Search and tell me what you can do for me, then show me one thing✓ If Claude says it is using Taskflow Doc Search or shows a Taskflow Doc Search tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
ChatGPT cannot connect Taskflow Doc Search yet
Taskflow Doc Search runs on your computer, but ChatGPT can only connect servers that run on the web
What you can do instead
A · Use an app that can connect Taskflow Doc Search
- 1 setting(s) to fill in (AI_WORKSPACE_ROOT) · Install Python (uv) on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
- 1 setting(s) to fill in (AI_WORKSPACE_ROOT) · Install Python (uv) on your computer first (one time)
- 1 setting(s) to fill in (AI_WORKSPACE_ROOT) · Install Python (uv) on your computer first (one time)
- 1 setting(s) to fill in (AI_WORKSPACE_ROOT) · Install Python (uv) on your computer first (one time)
Works with Claude Code, with some setup first
1 setting(s) to fill in (AI_WORKSPACE_ROOT) · Install Python (uv) on your computer first (one time)
Let AI install it
Copy this message into a Claude Code chat. The AI checks your computer, tells you which file it will change, and waits for your OK every time.
Please install the MCP server Taskflow Doc Search for Claude Code on this computer, in this order: 1) Check uv with uv --version. If it is missing, tell me to install it from https://docs.astral.sh/uv/getting-started/installation/; do not install it yourself. 2) Use only this config (already checked by PopNx MCP): claude mcp add --scope user taskflow-doc-search --env AI_WORKSPACE_ROOT=your-value -- uvx taskflow-doc-search 3) Tell me the full path of the file you will change, or the command you will run, and wait for my OK. 4) For AI_WORKSPACE_ROOT, leave "your-value" in place and tell me to paste the real value myself into the file or the app’s field. Never ask me to type a key in chat. 5) Do what we agreed, then check that the Taskflow Doc Search tools really show up.This message has no key in it. If a key is needed, the AI will ask you to paste it yourself into the file or the app’s field.
Install uv (if you don’t have it)
Already installed? Check first · Open Terminal, type this command and press Enter
uv --version- A version number such as uv … = installed, skip this step
- "command not found" (on Windows: "is not recognized") = not installed yet, or installed but Terminal needs to be closed and reopened
How to open Terminal
Mac: press ⌘ + Space, type Terminal, press Enter
Windows: open Start, type Windows PowerShell, then Open
Not installed: uv has no click-through installer. Copy the one-line command for your system (macOS or Windows) from uv’s official page into Terminal · no separate Python install needed; uv downloads it when required
When it’s done, close Terminal, open it again and run the same command. You should see a version number:
uv --versionInstall once; it works for everything that needs uv
Fill in 1 setting(s)
These are program settings, not keys. No sign-up needed; fill them in as the maker describes.
AI_WORKSPACE_ROOTAbsolute path to the workspace containing projects/ and tickets/.
Descriptions are as written by the maker.
Open Terminal
Mac: press Command+Space and type Terminal · Windows: open PowerShell
Paste this command and press Enter
claude mcp add --scope user taskflow-doc-search --env AI_WORKSPACE_ROOT=your-value -- uvx taskflow-doc-searchType /mcp in Claude Code
You should see Taskflow Doc Search listed as connected
Try it
Use Taskflow Doc Search and tell me what you can do for me, then show me one thing✓ If Claude Code says it is using Taskflow Doc Search or shows a Taskflow Doc Search tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with Cursor, with some setup first
1 setting(s) to fill in (AI_WORKSPACE_ROOT) · Install Python (uv) on your computer first (one time)
Let AI install it
Copy this message into a Cursor chat. The AI checks your computer, tells you which file it will change, and waits for your OK every time.
Please install the MCP server Taskflow Doc Search for Cursor on this computer, in this order: 1) Check uv with uv --version. If it is missing, tell me to install it from https://docs.astral.sh/uv/getting-started/installation/; do not install it yourself. 2) Use only this config (already checked by PopNx MCP): { "mcpServers": { "taskflow-doc-search": { "command": "uvx", "args": [ "taskflow-doc-search" ], "env": { "AI_WORKSPACE_ROOT": "your-value" } } } } 3) Tell me the full path of the file you will change, or the command you will run, and wait for my OK. 4) For AI_WORKSPACE_ROOT, leave "your-value" in place and tell me to paste the real value myself into the file or the app’s field. Never ask me to type a key in chat. 5) Do what we agreed, then check that the Taskflow Doc Search tools really show up.This message has no key in it. If a key is needed, the AI will ask you to paste it yourself into the file or the app’s field.
Install uv (if you don’t have it)
Already installed? Check first · Open Terminal, type this command and press Enter
uv --version- A version number such as uv … = installed, skip this step
- "command not found" (on Windows: "is not recognized") = not installed yet, or installed but Terminal needs to be closed and reopened
How to open Terminal
Mac: press ⌘ + Space, type Terminal, press Enter
Windows: open Start, type Windows PowerShell, then Open
Not installed: uv has no click-through installer. Copy the one-line command for your system (macOS or Windows) from uv’s official page into Terminal · no separate Python install needed; uv downloads it when required
When it’s done, close Terminal, open it again and run the same command. You should see a version number:
uv --versionInstall once; it works for everything that needs uv
Fill in 1 setting(s)
These are program settings, not keys. No sign-up needed; fill them in as the maker describes.
AI_WORKSPACE_ROOTAbsolute path to the workspace containing projects/ and tickets/.
Descriptions are as written by the maker.
Fill in your key
In the Taskflow Doc Search settings, AI_WORKSPACE_ROOT is empty; add your key and save
Open the AI chat in Cursor in Agent mode
Try it
Use Taskflow Doc Search and tell me what you can do for me, then show me one thing✓ If Cursor says it is using Taskflow Doc Search or shows a Taskflow Doc Search tool in the answer, you are connected
Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with VS Code, with some setup first
1 setting(s) to fill in (AI_WORKSPACE_ROOT) · Install Python (uv) on your computer first (one time)
Let AI install it
Copy this message into a VS Code chat. The AI checks your computer, tells you which file it will change, and waits for your OK every time.
Please install the MCP server Taskflow Doc Search for VS Code on this computer, in this order: 1) Check uv with uv --version. If it is missing, tell me to install it from https://docs.astral.sh/uv/getting-started/installation/; do not install it yourself. 2) Use only this config (already checked by PopNx MCP): { "servers": { "taskflow-doc-search": { "type": "stdio", "command": "uvx", "args": [ "taskflow-doc-search" ], "env": { "AI_WORKSPACE_ROOT": "your-value" } } } } 3) Tell me the full path of the file you will change, or the command you will run, and wait for my OK. 4) For AI_WORKSPACE_ROOT, leave "your-value" in place and tell me to paste the real value myself into the file or the app’s field. Never ask me to type a key in chat. 5) Do what we agreed, then check that the Taskflow Doc Search tools really show up.This message has no key in it. If a key is needed, the AI will ask you to paste it yourself into the file or the app’s field.
Install uv (if you don’t have it)
Already installed? Check first · Open Terminal, type this command and press Enter
uv --version- A version number such as uv … = installed, skip this step
- "command not found" (on Windows: "is not recognized") = not installed yet, or installed but Terminal needs to be closed and reopened
How to open Terminal
Mac: press ⌘ + Space, type Terminal, press Enter
Windows: open Start, type Windows PowerShell, then Open
Not installed: uv has no click-through installer. Copy the one-line command for your system (macOS or Windows) from uv’s official page into Terminal · no separate Python install needed; uv downloads it when required
When it’s done, close Terminal, open it again and run the same command. You should see a version number:
uv --versionInstall once; it works for everything that needs uv
Fill in 1 setting(s)
These are program settings, not keys. No sign-up needed; fill them in as the maker describes.
AI_WORKSPACE_ROOTAbsolute path to the workspace containing projects/ and tickets/.
Descriptions are as written by the maker.
Fill in your key
In the Taskflow Doc Search settings, AI_WORKSPACE_ROOT is empty; add your key and save
Open the AI chat in VS Code in Agent mode
Try it
Use Taskflow Doc Search and tell me what you can do for me, then show me one thing✓ If VS Code says it is using Taskflow Doc Search or shows a Taskflow Doc Search tool in the answer, you are connected
Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Other apps that use MCP, such as Windsurf, Zed or Gemini CLI, each add servers differently. See how in the app list.
JSON settings are under “For developers” below
For developers: Terminal commands and JSON settings
Installed on your computer
Claude Code
claude mcp add --scope user taskflow-doc-search --env AI_WORKSPACE_ROOT=your-value -- uvx taskflow-doc-searchClaude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"taskflow-doc-search": {
"command": "uvx",
"args": [
"taskflow-doc-search"
],
"env": {
"AI_WORKSPACE_ROOT": "your-value"
}
}
}
}Cursor (~/.cursor/mcp.json)
{
"mcpServers": {
"taskflow-doc-search": {
"command": "uvx",
"args": [
"taskflow-doc-search"
],
"env": {
"AI_WORKSPACE_ROOT": "your-value"
}
}
}
}VS Code (mcp.json)
{
"servers": {
"taskflow-doc-search": {
"type": "stdio",
"command": "uvx",
"args": [
"taskflow-doc-search"
],
"env": {
"AI_WORKSPACE_ROOT": "your-value"
}
}
}
}Values you fill in
AI_WORKSPACE_ROOTrequired envAbsolute path to the workspace containing projects/ and tickets/.
Descriptions are as written by the maker.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
At a glance
Which apps can use it
Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.
Run on your computer in
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
Related guides
What it can do
Runs on your computer; the tool list appears in your AI app after you install it.
Basic checksi
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 15, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account cynthiawang109-sudo, which owns the repo
- ✓ Pass
Still maintained
Code last changed today
- ✓ Pass
Has a licence
Uses MIT
- – Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
- – Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
- … Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints
Published vulnerabilities (OSV.dev)
Not checked yet
Makers: ask for a re-check or report wrong info
Discussion
Ask, share a tip or report that it does not work. Sorted by what people marked helpful.
No posts yet. Be the first to ask or share.
Posts here are written by users, not the PopNx team.
User reviews
No reviews yet
Compared with others in Search & AI memoryi
- More stars than 0% of the other 6148 servers in this category
- Published to the registry more recently than 100% of the other 6148 servers in this category
- Basic checks equal to or better than 100% of the other 6148 servers in this category
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
Common questions
Is Taskflow Doc Search safe?
It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
What keys or codes does it need?
The registry does not list a required key, though some servers ask you to sign in on first use.
Does it run on my computer or in the cloud?
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
Is it still maintained?
The GitHub repo last changed today, and the latest version (0.1.1) reached the registry today.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
What can I use instead?
In the same category: OpenSEO, Exa, Mockserver, Microsoft Learn MCP, Docs
Similar alternatives
Same category, other makers, commands already checked. Official ones first, then by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Exa
Connect AI agents to Exa for web search, content fetching, and multi-step research.
Mockserver
Mock, record/replay, verify and chaos-test any HTTP, REST, gRPC or LLM dependency over MCP.
Microsoft Learn MCP
Official Microsoft Learn MCP Server – real-time, trusted docs & code samples for AI and LLMs.
Docs
Search and read Empryo's documentation. Read-only, no auth, no local access.
- OpenSEO — Runs in the cloud, nothing to install · No key needed
- Exa — Runs in the cloud, nothing to install · No key needed · In Claude’s directory
- Mockserver — Installs on your computer · No key needed
- Microsoft Learn MCP — Runs in the cloud, nothing to install · No key needed · In Claude’s directory
- Docs — Runs in the cloud, nothing to install · No key needed
README from the maker
Open the README
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
doc-search MCP server
A small MCP server written with FastMCP. It gives an AI coding agent structured access to this workspace's documentation and demo tickets — the local, public stand-in for the Jira/Confluence side of the original production workspace. Five tools are annotated read-only (embeddings maintains a derived local cache); the sixth can only write ticket *drafts* (see below).
Tools
| Tool | What it does |
|---|---|
search_docs(query, limit=8) | Keyword search across every Markdown doc under projects/; title hits ×3, heading hits ×2, body hits ×1; returns path, title, score, snippet |
search_docs_semantic(query, limit=8) | TF-IDF vector-space search over the same corpus (cosine similarity); returns path, title, score (0–1), snippet |
search_docs_embeddings(query, limit=8) | Sentence embeddings over heading chunks; returns path, title, cosine score, snippet, heading; caches in .index/ |
get_doc(path) | Fetch one document by workspace-relative path (only projects/ and tickets/ are readable) |
list_tickets(status?) | List the pre-TF-115 archive from tickets/*.md front matter, optionally filtered by status |
propose_ticket(title, body, priority="medium") | Write a ticket draft to tickets/drafts/draft- .md — the server's only source-content write; it cannot create or modify real tickets |
Draft-first writes
propose_ticket mirrors the production workspace's rule for outward writes (there: Jira changes start as drafts a human approves). The boundary is enforced by the tool, not by politeness: it writes only new files under tickets/drafts/, always with status: draft, it refuses to overwrite an existing draft, and it is annotated as a write, so clients ask the user before calling it. tickets/ is the pre-TF-115 archive; list_tickets never shows drafts as tickets. A human reviews and promotes a draft with scripts/promote-draft.ps1 (or .sh), which files an Issue instead of moving the file into tickets/. Set AI_WORKSPACE_PROJECT to the workspace Project number, or pass -Project N / --project N, to also add the Issue to the board. Without a Project, the script prints the Issue URL and notes that it was not added to a board. The draft is preserved. The doc-search server stays credential-free and never calls GitHub.
Three rungs of document search
search_docscounts exact term hits with title/heading/body weights. It is predictable for known terms, but repetition can dominate ranking.search_docs_semanticuses TF-IDF cosine similarity over whole documents. It down-weights common terms and balances multi-term queries. Both of these first two rungs are bag-of-words models: neither understands synonyms. They use only the standard library and rebuild their vectors per call.search_docs_embeddingsuses sentence-transformers over ATX heading sections, embedding the document title, heading trail and body. It can retrieve paraphrases and synonyms, but relevance is model-dependent. Cosine ranking uses pure Python. A content-hash fingerprint invalidates the derived.index/cache when documents or the model change.
- Local documents: searches never modify the source documents. Embeddings writes a derived cache;
propose_ticketwrites drafts under the rules above. - No credentials: keyword and TF-IDF need no network. Embeddings downloads its model once, then runs fully locally.
- Client-agnostic: plain MCP over stdio.
Setup
cd mcp\doc-searchpython -m venv .venv .venv\Scripts\python -m pip install -r requirements.txt pytest
Optional embeddings dependencies (includes torch):
.venv\Scripts\python -m pip install -r requirements-embeddings.txtDOC_SEARCH_EMBEDDING_MODEL overrides the default sentence-transformers/all-MiniLM-L6-v2. DOC_SEARCH_EMBEDDER=fake selects only a deterministic hashed-token test double, without semantic understanding.
Evaluate the synced corpus with python scripts/run_eval.py; add --write to record the dated results in EVAL.md. The eval is not run in CI.
Run the tests
.venv\Scripts\python -m pytestThe tests build a throwaway fixture workspace, so they pass whether or not sync has populated projects/.
Register it
Codex — add to ~/.codex/config.toml:
[mcp_servers.doc-search]command = 'C:\path\to\ai-workspace-kit\mcp\doc-search\.venv\Scripts\python.exe' args = ['C:\path\to\ai-workspace-kit\mcp\doc-search\server.py']
Claude Code:
claude mcp add doc-search -- C:\path\to\ai-workspace-kit\mcp\doc-search\.venv\Scripts\python.exe C:\path\to\ai-workspace-kit\mcp\doc-search\server.pyThe server finds the workspace root from its own location ( /mcp/doc-search/server.py); set AI_WORKSPACE_ROOT to override.
Install the distribution
Once published, install with pip install taskflow-doc-search (or pip install "taskflow-doc-search[embeddings]" for sentence embeddings). For a local checkout, pip install . from this directory works today. Run taskflow-doc-search with AI_WORKSPACE_ROOT set to the absolute path of the workspace to search. It serves MCP over stdio; no command arguments are needed. The existing python server.py launcher and its automatic workspace-root detection remain supported.
Release instructions: PUBLISHING.md. The included server.json is prepared for an optional MCP registry listing and has not been published.