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Cloud platforms · MCP server

Synaplan: MCP server, setup and security

Synaplan is an open-source MCP server that lets an AI agent search documents with semantic RAG and access long-term memory. Its repository has 222 stars and its last commit is from October 24, 2026 and it is licensed under Apache-2.0.

Score
68/100
Adoption (stars) 23/40
Maintenance 30/30
Framework (licence, registry, official) 15/30
Actively maintainedRemote server

What Synaplan does

According to its repository: “Self-hosted AI workspace: semantic RAG document search, long-term memory, and AI chat via MCP.”

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. Synaplan is listed under Cloud platforms, a category of 116 servers in the directory, where it ranks #30 by stars.

Topics declared by the repository: chat, php, ai-agents, anthropic, chatbot-widget, chatgpt-alternative.

Installing and connecting Synaplan

Distribution modes declared in the official MCP registry:

  • remote server (streamable-http): you connect to it by URL, with nothing to install locally

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: PHP.

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.

None of the risk signals we track (system access, secrets, missing licence, abandonment) applies to Synaplan. 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 30, 2025, the metadist/synaplan repository has 222 stars and 32 forks, with 12 open issues. It has more stars than 79% of the servers in the directory. It received changes this month. Version published in the registry: 5.5.4 (October 23, 2026).

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

CoderCoder : 17.2K17.2KKubesharkKubeshark : 12.1K12.1KAwslabs MCPAwslabs MCP : 9.8K9.8KMCP server cloudflareMCP server cloudflare : 4.4K4.4KKubefwdKubefwd : 4.2K4.2KSocraticodeSocraticode : 3.4K3.4KKubernetes MCP serverKubernetes MCP server : 2.2K2.2KAzure DevOps (ADO)Azure DevOps (ADO) : 2.1K2.1KSynaplanSynaplan : 222222
GitHub stars of the most followed servers in the category (log scale); Synaplan in orange. Checked October 25, 2026.

Verdict

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

Strengths

  • Active project: recent commit
  • Widely followed: 222 stars
  • Listed in the official MCP registry
  • Usable remotely, without installation
  • Permissive licence (Apache-2.0)

Frequently asked questions

How do I install Synaplan?

Synaplan is distributed as a remote server. Add it to your client's MCP configuration (Claude Desktop, Cursor, VS Code…) following the README of metadist/synaplan.

Is Synaplan free?

The code is published under the Apache-2.0 licence and can be used free of charge.

Is Synaplan 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 metadist on GitHub. Check who maintains it before giving it access.

What are the alternatives to Synaplan?

In the same category: MCP server cloudflare, Awslabs MCP, Terraform, and Kubefwd. MCP server cloudflare and Awslabs MCP 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