Context7
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Description from the maker (original English)
Search Vascue's public healthcare-ops, insurance-claims and booking docs. Public content only.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
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Works in Claude on the web, desktop and mobile:
https://www.vascue.io/mcp/searchRun this in your terminal
claude mcp add --transport http public-knowledge-search https://www.vascue.io/mcp/searchPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"public-knowledge-search": {
"url": "https://www.vascue.io/mcp/search"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"public-knowledge-search": {
"type": "http",
"url": "https://www.vascue.io/mcp/search"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
ChatGPT connects only to servers on the internet:
https://www.vascue.io/mcp/searchMenu names can differ slightly by plan and over time.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Tool names and descriptions exactly as the server reported them on Nov 7, 2026. The maker wrote them, not us; we show them as plain text.
searchHybrid keyword + semantic search over the public pages of vascue.io: healthcare-operations guides, Vascue Front Desk for clinics, provider-side insurance-claims automation, practice-management integrations (two-way sync with Cliniko and Nookal; Jane, Mindbody, PracticeHub, HexaHe
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 7, 2026
The registry name was verified against the domain vascue.io (the registry checks domain ownership)
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Responded in 360 ms (HTTP 200)
No sign-in needed
Read 1 tool descriptions and found no hidden instructions to the AI
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
The GitHub repo last changed –, and the latest version (1.2.0) reached the registry 11 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
In the same category: Context7, Codebase Memory, Exa
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
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.
A Model Context Protocol server that searches Vascue's public documentation: healthcare operations, Vascue Front Desk for clinics, provider-side insurance claims automation, practice-management integrations (two-way sync with Cliniko and Nookal; Jane, Mindbody, PracticeHub, HexaHealth, Halaxy, Clinicea, ClinicOffice, Semble, Plato Medical and JERA in progress), security, case studies and pricing.
It comes in two equivalent forms:
https://www.vascue.io/mcp/search - streamable HTTP, no authentication.python server.py - local BM25 search over a bundled snapshot of the public pages (content/, refreshed per release with scripts/fetch_content.py). No network calls at runtime, so it also works offline and is what directory-built releases run.https://www.vascue.io/mcp/search (streamable HTTP, no authentication)io.vascue/public-knowledge-searchPublic content only. This server indexes public product and educational pages. Never send patient information, claim documents, clinic credentials or booking requests to it. Agent-based clinic booking is a separate research pilot, not a public API.
Any MCP client that speaks streamable HTTP can connect to the endpoint directly.
Claude Code
claude mcp add --transport http vascue-search https://www.vascue.io/mcp/search
Cursor / Claude Desktop / other stdio-only clients (via mcp-remote)
{
"mcpServers": { "vascue-search": { "command": "npx", "args": ["-y", "mcp-remote", "https://www.vascue.io/mcp/search"] } } }
Self-contained local server (stdio; bundled snapshot, no network)
pip install -r requirements.txt
python server.py
Docker (builds the self-contained server)
docker build -t vascue-public-knowledge-search .
docker run -i --rm vascue-public-knowledge-search
One tool, search, in both forms: no authentication, read-only. The inputs differ between the hosted endpoint and the local server.
https://www.vascue.io/mcp/search)Hybrid (keyword + vector) search over Vascue's public pages. Returns matching excerpts with their canonical https://www.vascue.io/... URLs so answers can cite the source.
| Input | Type | Notes | ||
|---|---|---|---|---|
query | string (required) | Natural-language question or keywords, e.g. "how does Vascue handle insurance claim pre-authorisation". | ||
ai_search_options.retrieval.retrieval_type | `"hybrid" \ | "vector" \ | "keyword"` | Default hybrid. |
ai_search_options.retrieval.max_num_results | integer 1–50 | Default 8. | ||
ai_search_options.retrieval.match_threshold | number 0–1 | Default 0.35. | ||
ai_search_options.retrieval.context_expansion | integer 0–3 | Neighbouring chunks to include. |
Query rewriting and reranking are disabled server-side; the server returns source chunks only and never a generated answer, so nothing is presented as a Vascue statement without a citation. Rate limit: 60 requests per minute per client.
Example call:
{ "name": "search", "arguments": { "query": "Cliniko integration for Vascue Front Desk" } }
The endpoint is backed by a Cloudflare AI Search instance over the approved public Markdown export of vascue.io (the service descriptor at https://www.vascue.io/.well-known/ai-search.json states what is and is not indexed).
server.py)BM25 keyword search over the bundled content/ snapshot. No network calls at runtime. Returns {"chunks": [...]}, each chunk with url, title, score (0–1, relative to the best match) and text.
| Input | Type | Notes |
|---|---|---|
query | string (required) | Natural-language question or keywords; 3–15 words, one topic per call. |
max_num_results | integer 1–50 | Default 8. |
Example call:
{ "name": "search", "arguments": { "query": "Cliniko integration", "max_num_results": 5 } }
docker build -t vascue-public-knowledge-search .
node scripts/smoke.mjs docker run -i --rm vascue-public-knowledge-search # initialize -> tools/list node scripts/smoke.mjs npx -y mcp-remote https://www.vascue.io/mcp/search --transport http-only
CI runs the same build and smoke test on every push and weekly, so the badge above doubles as an endpoint health indicator.
Directories that build the server from source (e.g. Glama) run the self-contained form. Generated build images vary (uv-managed Python without pip, or a PEP 668 externally-managed system Python), so use an explicit venv:
["uv venv /opt/venv && uv pip install --python /opt/venv/bin/python -r requirements.txt"]["/opt/venv/bin/python", "server.py"]Where a normal pip exists, plain pip install -r requirements.txt + ["python", "server.py"] works too.
pip install -r requirements.txt
SMOKE_CALL_QUERY="Cliniko integration" node scripts/smoke.mjs python server.py # local server node scripts/smoke.mjs python bridge.py # stdio bridge to the hosted endpoint python scripts/fetch_content.py # refresh the content/ snapshot
https://www.vascue.io/llms.txthttps://www.vascue.io/openapi.json (public, read-only content API)https://www.vascue.io/.well-known/agent-skills/index.json (agent skills; also at vascue-io/skills)This repository (README, manifest, Dockerfile) is MIT licensed. The content served by the endpoint is Vascue's public website content.