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FairMind Project Context

by FairMind-Gen-AI-Studioversion 1.0.1i★ –iRuns in the cloud
Registry nameai.fairmind/project-context

Install

Overview

Description from the maker (original English)

Project memory for coding agents: requirements, decisions, code graph and delivery telemetry.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs in the cloud
  • Transport: Streamable HTTP
  • Category: Search & AI memory
  • You need to fill in: Authorization

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on the maker’s server: what you ask it goes through their server.
  • You fill in yourself: Authorization

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install 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.

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.

Open in Cursor

Or copy the settings yourself

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.

Open in VS Code

Or copy the settings yourself

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.

Values you fill in

  • Authorization secret required HTTP header
    Bearer , issued per tenant from your FairMind account.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

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 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified against the domain fairmind.ai (the registry checks domain ownership)

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • … Not checked yet

    Endpoint responds

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    Sign-in with OAuth

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    No hidden instructions in tool descriptions

    Not checked yet; we read the tool list when we check the endpoint

Compared with others in Search & AI memoryi

  • More stars than 0% of the other 7233 servers in this category
  • Published to the registry more recently than 43% of the other 7233 servers in this category
  • Basic checks equal to or better than 100% of the other 7233 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 FairMind Project Context safe?

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.

What keys or codes does it need?

You need to fill in: Authorization

Does it run on my computer or in the cloud?

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.

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.1) reached the registry 2 months ago.

Which apps can use it?

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.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

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

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated 3 days ago
Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 20 days ago
Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated 44 days ago
Install

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.

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 nameai.fairmind/project-context
TransportStreamable HTTP
URLhttps://project-context.fairmind.ai/mcp/mcp
AuthenticationAuthorization: Bearer

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 "

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:

GroupWhat 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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