"author:tools-for-agents" matching MCP servers:

Enables exploring and querying structured data (JSON, JSONL, CSV, TSV) via shape, read, find, and diff operations, with bounded resource usage.

Enables agents to use secrets without exposing them, by injecting values into commands and redacting them from all outputs and transcripts.

An MCP server that provides shared memory, kanban board, and agent registry for AI agents to collaborate as a team, with a live dashboard for human oversight.

Provides a durable, Obsidian-compatible knowledge base for agents using markdown notes and wikilinks. Enables agents to store, retrieve, and interlink knowledge persistently, with tools for writing, searching, and managing a graph of notes.

Provides token-efficient code retrieval for coding agents by indexing repositories and enabling ranked snippet search, symbol outlines, and surgical line reads.

Enables agents to query across all their memory stores (brain, team, reading, code) in one call, returning a token-budgeted, ranked briefing with results interleaved from each source.

A throwaway Docker sandbox for agents to run code and shell commands safely.

MCP server that fetches web pages, extracts clean markdown (reducing token count), caches results, and provides searchable reading history.