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MCP SERVER Listed

MeMesh

MeMesh is a lightweight AI agent collaboration layer that runs locally on your machine, giving you shared memory and messaging without sending data to the cloud. It stores everything—memories, directed messages, and improvement suggestions—in a single SQLite file, so your context stays portable and inspectable. Any model or tool that supports MCP, HTTP, or CLI can plug in, making it vendor-neutral and easy to integrate with Claude Code, Codex, Cursor, Gemini, or self-hosted models. Since it's open source under MIT and runs entirely offline, it's ideal for developers who want persistent agent state, cross-agent communication, or a simple way to track and refine prompts over time. MeMesh fills the gap between isolated model runs and full agent frameworks, offering just enough structure to enable collaboration without the overhead. It's especially useful for teams experimenting with multiple agents locally or anyone building iterative AI workflows on their own infrastructure.

Open ecosystemDevelopmentDevelopment
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01 / SERVER DETAIL

Server detail

MeMesh is a lightweight AI agent collaboration layer that runs locally on your machine, giving you shared memory and messaging without sending data to the cloud. It stores everything—memories, directed messages, and improvement suggestions—in a single SQLite file, so your context stays portable and inspectable. Any model or tool that supports MCP, HTTP, or CLI can plug in, making it vendor-neutral and easy to integrate with Claude Code, Codex, Cursor, Gemini, or self-hosted models. Since it's open source under MIT and runs entirely offline, it's ideal for developers who want persistent agent state, cross-agent communication, or a simple way to track and refine prompts over time. MeMesh fills the gap between isolated model runs and full agent frameworks, offering just enough structure to enable collaboration without the overhead. It's especially useful for teams experimenting with multiple agents locally or anyone building iterative AI workflows on their own infrastructure.

An MCP server that exposes MeMesh capabilities to MCP-compatible AI clients.

CapabilitiesDevelopmentMCPOpen source
ProtocolModel Context Protocol
Developer ecosystemOpen ecosystem
LicenseMIT / check source
SourceGitHub
COLLECTIONS

Collections featuring this MCP

Popular MCP2026.03.30Listed
My MCP2026.03.31Listed
Genie2026.03.30Listed
02 / TOOL TESTING

Tool testing

AVAILABLE TOOL

memesh

Callable

Call the MCP capabilities provided by MeMesh and return a structured result.

PARAMETERS
inputPass arguments according to the server tool schema.
Tip: the tool may truncate responses. Use pagination parameters such as start_index to read long content in chunks.
03 / SERVICE CONFIGURATION

Connection modes

Remote
{
  "mcpServers": {
    "MeMesh": {
      "url": "Generated by the provider after deployment"
    }
  }
}

The Remote endpoint is generated by the provider after deployment; this page does not fabricate an unusable endpoint.

03 / WORKFLOW

How to use

  1. 01
    Step 1

    Review server capabilities and permission scope.

  2. 02
    Step 2

    Copy the install command or JSON configuration.

  3. 03
    Step 3

    Run a small connection test in your client.

  4. 04
    Step 4

    Adopt it long term only after reviewing access and maintenance.

04 / DISCUSSIONS

Discussions

Use this space to keep checking source information, usage experience and maintenance status.

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