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Memory and knowledge · MCP server

Codealive MCP: MCP server, setup and security

Codealive MCP is an open-source MCP server that lets an AI agent search and analyze source code semantically through CodeAlive tools. Its repository has 90 stars and its last commit is from September 24, 2026 and it is licensed under MIT.

Actively maintainedNeeds secrets

What Codealive MCP does

According to its repository: “Semantic code search and analysis from CodeAlive for AI assistants and agents.”

An MCP server gives an AI agent extra tools it calls during the conversation: the agent reads their description, decides to use them and gets the result back. Codealive MCP is listed under Memory and knowledge, a category of 250 servers in the directory, where it ranks #79 by stars.

Topics declared by the repository: claude-code, cursor, graphrag, large-codebase, rag.

Installing and connecting Codealive MCP

Distribution modes declared in the official MCP registry:

  • Docker (OCI) image

Like any MCP server, you declare it in your client's configuration (Claude Desktop, Claude Code, Cursor, VS Code, Codex…): a name, the command that starts it or its URL, and any environment variables. The client then starts it and lists its tools. Project language: Python.

The registry lists one secret variable to provide (API key, access token). Keep them in the client's environment variables, never in a shared file or a repository.

Security: what to check

An MCP server runs code with the rights you give it, and the model reads its tool descriptions: a malicious or compromised server can hijack the agent. Read the code, or pick a maintained and widely used server, before connecting it.

Points found for Codealive MCP:

  • Secrets: the server acts with your credentials. Create a dedicated key with minimum rights and an expiry date.

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 April 26, 2025, the CodeAlive-AI/codealive-mcp repository has 90 stars and 9 forks, with 0 open issues. It has more stars than 65% of the servers in the directory. Last change 1 month ago. Version published in the registry: 3.0.3 (July 21, 2026).

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 : 2.3K2.3KCodealive MCPCodealive MCP : 9090
GitHub stars of the most followed servers in the category (log scale); Codealive MCP in orange. Checked October 25, 2026.

Verdict

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

Strengths

  • Active project: recent commit
  • Listed in the official MCP registry
  • Permissive licence (MIT)

Limitations

  • Requires an API key or token

Avoid if…

  • You do not want to give credentials to an agent

Frequently asked questions

How do I install Codealive MCP?

Codealive MCP is distributed as Docker (OCI) image. Add it to your client's MCP configuration (Claude Desktop, Cursor, VS Code…) following the README of CodeAlive-AI/codealive-mcp.

Is Codealive MCP free?

The code is published under the MIT licence and can be used free of charge. It needs an API key: the service it connects to may be paid.

Is Codealive MCP safe?

Points to watch: secrets. Give it minimum rights and approve sensitive actions.

Is it an official server?

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

What are the alternatives to Codealive MCP?

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