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Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.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)
Project memory for coding agents: requirements, decisions, code graph and delivery telemetry.
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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This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.
Run this in your terminal
claude mcp add --transport http project-context https://project-context.fairmind.ai/mcp/mcp --header 'Authorization: your-value'Fill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"project-context": {
"url": "https://project-context.fairmind.ai/mcp/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}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": {
"project-context": {
"type": "http",
"url": "https://project-context.fairmind.ai/mcp/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}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.
This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.
Your choice stays on this device in a cookie; no account needed.
Authorization secret required HTTP headerThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
We have not read this server’s tool list yet; we check endpoints in rotation.
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 6, 2026
The registry name was verified against the domain fairmind.ai (the registry checks domain ownership)
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Not checked yet; we check endpoints in rotation
Not checked yet; we check endpoints in rotation
Not checked yet; we read the tool list when we check the endpoint
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 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.
You need to fill in: Authorization
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 (1.0.1) reached the registry 2 months 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.
Project memory for coding agents: requirements, decisions, code graph and delivery telemetry.
FairMind Project Context is the hosted MCP server of the FairMind platform. It gives a coding agent the context of the project it is working on: the needs, user stories, tasks and tests planned in FairMind Studio, the decisions the team has recorded, and search over the code and documents ingested into FairMind. The agent can also record what it did, so the next session starts from there.
This repository holds the server's registry manifest and its connection instructions. The service is hosted and operated by FairMind; its source code is not published here.
| Registry name | ai.fairmind/project-context |
| Transport | Streamable HTTP |
| URL | https://project-context.fairmind.ai/mcp/mcp |
| Authentication | Authorization: Bearer |
The server requires a FairMind account. Tokens are issued per organization by FairMind: contact us through fairmind.ai to get one.
Treat the token as a password. It gives access to your organization's project data, so keep it out of files you commit.
Add this to .vscode/mcp.json. VS Code asks for the token the first time the server starts and stores it securely.
{
"inputs": [ { "type": "promptString", "id": "fairmind-token", "description": "FairMind token", "password": true } ], "servers": { "fairmind": { "type": "http", "url": "https://project-context.fairmind.ai/mcp/mcp", "headers": { "Authorization": "Bearer ${input:fairmind-token}" } } } }
claude mcp add --transport http Fairmind https://project-context.fairmind.ai/mcp/mcp \
--header "Authorization: Bearer "
Any MCP client that supports Streamable HTTP and custom request headers can connect: use the URL above and send the token in the Authorization header.
The tools are grouped by prefix:
| Group | What it covers |
|---|---|
Studio_* | Needs, user stories, tasks, test cases and requirements planned in FairMind Studio; creating them and recording implementation progress |
Brain_* | The decisions, requirements and issues your team has recorded: search, read, record new ones and follow how they changed over time |
Code_* | Search, read and navigate the repositories ingested into FairMind, and assess a repository's readiness for AI-assisted development |
General_* | Projects, work sessions, attachments and retrieval over project documents |
Insights_* | Recording and reading agent activity, audits and decisions |
Contact FairMind through fairmind.ai.
The contents of this repository, the manifest and this documentation, are released under the MIT License. The FairMind service itself is proprietary and provided under your agreement with FairMind.