Project memory for coding agents: requirements, decisions, code graph and delivery telemetry.
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ai.fairmind/project-context is an MCP server that project memory for coding agents: requirements, decisions, code graph and delivery telemetry. Its tool list has not been published yet over http, requires no API key, and scores 69/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients - only the file and path differ.
https://project-context.fairmind.ai/mcp/mcpRemote servers are added as connectors, not in claude_desktop_config.json, which is for local servers.
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Project memory for coding agents: requirements, decisions, code graph and delivery telemetry.
This server supports HTTP transport. Be the first to test it - help the community know if it works.
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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 <FairMind 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.
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 <your FairMind token>"
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.