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Memory and knowledge · MCP server

Graphlit MCP server: MCP server, setup and security

Graphlit MCP server is an open-source MCP server published on GitHub that lets an AI agent ingest content into Graphlit and retrieve relevant project knowledge. Its repository has 377 stars and its last commit is from January 12, 2026 and it is licensed under MIT.

Last commit 9 months ago

What Graphlit MCP server does

According to its repository: “Ingest content from Slack, Discord, websites, Google Drive, Linear or GitHub into a Graphlit project, then search and retrieve relevant knowledge.”

The Model Context Protocol (MCP) is a standard plug between an AI agent and an outside service: once the server is connected, its tools show up in the agent, which decides when to call them. Graphlit MCP server is listed under Memory and knowledge, a category of 250 servers in the directory, where it ranks #31 by stars.

Topics declared by the repository: claude, content-extraction, content-ingestion, data-collection, llm-tools, search-api.

Installing and connecting Graphlit MCP server

No package or remote server is declared in the official MCP registry: you install it from source, following the repository README.

It works with any MCP-compatible client (Claude Desktop, Claude Code, Cursor, VS Code, Codex and most recent agents). You add one entry to the client's MCP configuration: server name, start command or URL, environment variables. Project language: TypeScript.

Security: what to check

Connecting an MCP server means installing software that talks straight to your agent: it runs with your rights and the model trusts its tool descriptions. The risk therefore depends on what it can touch and how far its code can be trusted.

None of the risk signals we track (system access, secrets, missing licence, abandonment) applies to Graphlit MCP server. That does not replace reading the code.

Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.

Project activity and maintenance

Created on March 1, 2025, the graphlit/graphlit-mcp-server repository has 377 stars and 56 forks, with 2 open issues. It has more stars than 85% of the servers in the directory. Last change 9 months ago.

Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.

Context7Context7 : 63.6K63.6KHindsightHindsight : 53.4K53.4KCogneeCognee : 32.7K32.7KSkill SeekersSkill Seekers : 15.2K15.2KHonchoHoncho : 7.8K7.8KBasic memoryBasic memory : 4.3K4.3KNoteDiscoveryNoteDiscovery : 2.8K2.8KMemantoMemanto : 2.3K2.3KGraphlit MCP serverGraphlit MCP server : 377377
GitHub stars of the most followed servers in the category (log scale); Graphlit MCP server in orange. Checked October 25, 2026.

Verdict

Graphlit MCP server is a reasonable choice; check the points below before connecting it.

Strengths

  • Widely followed: 377 stars
  • Permissive licence (MIT)

Limitations

  • No commit for 9 months
  • Install from source

Frequently asked questions

How do I install Graphlit MCP server?

No package is declared in the MCP registry: clone the graphlit/graphlit-mcp-server repository, follow its README, then declare the start command in your client's MCP configuration.

Is Graphlit MCP server free?

The code is published under the MIT licence and can be used free of charge.

Is Graphlit MCP server safe?

No risk signal found (system access, secrets, licence, abandonment). As with any MCP server, keep rights minimal and read the code before sensitive use.

Is it an official server?

Nothing says so: it is a project published by graphlit on GitHub. Check who maintains it before giving it access.

What are the alternatives to Graphlit MCP server?

In the same category: Context7, Basic memory, Hindsight, and Cognee. Context7 and Basic memory score higher on our grid.

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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score