
Turns any folder of Markdown agent skills into a local MCP server, exposing them as tools, prompts, and resources for MCP-compatible clients.
Zero-dependency MCP server and CLI for token-efficient inspection of local CSV/JSON/JSONL files, providing schema, samples, and paginated filtered queries to AI agents.
Spin up deterministic mock MCP servers from JSON fixture files for testing MCP clients and agents.
An MCP server that provides append-only, tamper-evident local receipts for AI agent actions, capturing command executions, outputs, and handoff evidence.
A tiny local MCP server and CLI that lets AI agents read only allowlisted environment variables, redacts known secrets from text, and logs every access.
MCP server that provides human-in-the-loop approval for risky AI agent actions, with durable state and audit logs.
Local CLI and MCP server that redacts secrets from logs, files, and diffs before sending them to AI agents, with stable placeholders and token-budgeted truncation.
Turns any OpenAPI spec into a Model Context Protocol server, generating tools from paths and schemas with support for auth headers, method allowlists, and base URL overrides.
Turns any curl command into an MCP tool server by extracting placeholders and serving the request over stdio.
Enables turning any command-line tool into an MCP server with auto-generated JSON schema, supporting stdio, timeouts, and stderr capture.
A tiny local MCP memory server that stores lessons learned and resurfaces them before your AI agent repeats the same mistake. It provides tools for adding, searching, listing, forgetting, and inspecting lessons via MCP stdio.
Turns any folder of agent skills into a live MCP server, exposing skills_list, skills_get, and skills_search tools with zero-dependency stdio support.