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Agentcontext

  • Updated April 29, 2026
  • mbeato/agentcontext-mcp

agentcontext is a MCP server that normalizes AGENTS.md, CLAUDE.md, and editor-specific rule files from one shared source.

About

agentcontext is an MCP server that helps developers keep AI coding instructions consistent across tools by normalizing AGENTS.md, CLAUDE.md,.cursor/rules,.clinerules, and.windsurf/rules from one source. Instead of editing five copies of the same policy and watching them diverge after every sprint, you treat agent context as infrastructure and let the server align outputs for each client format. It belongs in Build under agent-tooling because you typically adopt it when bootstrapping a repo or refactoring how your agent should test, commit, and respect boundaries—but the payoff spans Ship code review and Operate when you tweak guardrails. Intermediate complexity reflects that you need to understand each editor’s rule layout even if generation is automated. Register via npm stdio in your MCP client, point workflows at your canonical definitions, and invoke when onboarding a new machine or adding a second agent to the stack.

  • Normalizes AGENTS.md, CLAUDE.md, .cursor/rules, .clinerules, and .windsurf/rules
  • Single-source workflow to stop conflicting instructions across editors
  • npm package @mbeato/agentcontext-mcp over stdio MCP
  • Targets multi-agent solo stacks (Claude Code + Cursor + Windsurf)
  • Version 0.1.2 with GitHub source at mbeato/agentcontext-mcp

Agentcontext by the numbers

  • Data as of Jul 7, 2026 (Skillselion catalog sync)
terminal
claude mcp add agentcontext -- npx -y @mbeato/agentcontext-mcp

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Package@mbeato/agentcontext-mcp
TransportSTDIO
AuthNone
Last updatedApril 29, 2026
Repositorymbeato/agentcontext-mcp

What it does

Maintain one source of truth and emit AGENTS.md, CLAUDE.md, Cursor, Cline, and Windsurf rule files without manual copy-paste drift.

Who is it for?

Best when you're running multiple AI editors on one codebase and want synchronized AGENTS.md and rules without manual duplication.

Skip if: Skip if you only use a single agent with one static CLAUDE.md and never touch Cursor, Cline, or Windsurf configs.

What you get

After install, you can regenerate aligned agent instruction files from one source so every client follows the same constraints and workflows.

  • Aligned AGENTS.md, CLAUDE.md, and editor rule trees generated from one source
  • Reduced drift between Claude Code, Cursor, Cline, and Windsurf sessions
  • Repeatable normalization step in onboarding or CI

By the numbers

  • Supports 5 target artifact families: AGENTS.md, CLAUDE.md, .cursor/rules, .clinerules, .windsurf/rules
  • npm package @mbeato/agentcontext-mcp version 0.1.2
  • stdio MCP transport
README.md

@mbeato/agentcontext-mcp

MCP server for @mbeato/agentcontext — normalize agent-context files (AGENTS.md, CLAUDE.md, GEMINI.md, .cursor/rules/*.mdc, .windsurf/rules/*.md, .clinerules/*.md, CONVENTIONS.md) from any MCP-aware coding agent.

Two tools exposed:

  • read_agent_context(path) — parse all detected formats in a repo, return one unified IR.
  • convert_agent_context(ir, targets) — render the IR to one or more target formats; returns the file map.

Install

// ~/.config/claude-code/mcp.json (or your MCP client's config)
{
  "mcpServers": {
    "agentcontext": {
      "command": "npx",
      "args": ["-y", "@mbeato/agentcontext-mcp"]
    }
  }
}

Status

v0.1 — early. See https://agentsmd.apimesh.xyz for the project home.

License

MIT

Recommended MCP Servers

How it compares

MCP normalization layer for agent instruction files, not a database connector or paid SEO API suite.

FAQ

Who is agentcontext for?

Developers and small teams standardizing AI behavior across Claude Code, Cursor, Cline, and Windsurf from one canonical agent context.

When should I use agentcontext?

Use it when you add a new agent client, refactor coding policies, or notice drift between AGENTS.md and editor-specific rules folders.

How do I add agentcontext to my agent?

Install @mbeato/agentcontext-mcp, add the stdio MCP server entry in your client config, then run normalization tools against your source definitions per the repo README.

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