Server data from the Official MCP Registry
Project memory for coding agents: requirements, decisions, code graph and delivery telemetry.
About
Project memory for coding agents: requirements, decisions, code graph and delivery telemetry.
Remote endpoints: streamable-http: https://project-context.fairmind.ai/mcp/mcp
Security Report
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
Endpoint verified · Requires authentication · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Found in Source Code
Found by scanning the linked source code. This listing connects to a hosted endpoint, so none of this runs on your machine: it describes what the server software does where it is hosted.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"ai-fairmind-project-context": {
"url": "https://project-context.fairmind.ai/mcp/mcp"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
FairMind Project Context MCP server
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.
Endpoint
| Registry name | ai.fairmind/project-context |
| Transport | Streamable HTTP |
| URL | https://project-context.fairmind.ai/mcp/mcp |
| Authentication | Authorization: Bearer <FairMind token> |
Getting a token
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.
Connecting
VS Code (GitHub Copilot)
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 Code
claude mcp add --transport http Fairmind https://project-context.fairmind.ai/mcp/mcp \
--header "Authorization: Bearer <your FairMind token>"
Other clients
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.
Tools
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 |
Support
Contact FairMind through fairmind.ai.
License
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.
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