Concord MCP server
by Get-Concord-AILets your AI coding agents in different tools talk to each other and share who is working on which file.
AI Library · 4,066 MCP servers
Lets your AI coding agents in different tools talk to each other and share who is working on which file.
Teaches your AI how you actually use another MCP server, safely and read-only, so it stops guessing.
Your AI can shrink huge tool outputs to save tokens, then pull the exact original text back whenever it needs it.
Give your AI a toolbox for domain, DNS, email, and web checks, plus handy developer utilities.
Lets your AI check, clean up and repair code files, JSON and text on your own computer.
Ask your AI to map out a system's structure, bottlenecks, and risks, with every answer backed by math.
Your AI can rank your code files by importance, map dependencies, and answer questions about your codebase.
Lets your AI check, tidy up, and scan SQL queries for problems before you run them.
Lets your coding AI look up functions, callers, and what breaks if you rename something, without grepping.
Lets your AI look up who calls a piece of code, what depends on it, and what breaks if you change it.
Lets your AI agents share notes, hand off work, and avoid stepping on each other when they run in parallel.
Lets your AI search and pull sections out of your local Markdown files, like wikis and guides.
Lets your AI scan a code folder and score how safe and production-ready it looks.
Watch a long AI task run step by step in your chat, live, without asking over and over.
Lets your AI safely read files, query databases, and run approved commands in your local project.
Your AI can search real debugging lessons from past engineering sessions so it stops repeating the same mistakes.
Run several copies of the same MCP server side by side, each with its own name, settings and files.
Lets your AI run network checks like ping, traceroute, DNS lookups and port scans for you.
Give your AI a tamper-proof timestamp for each step it takes, so it can remember its work after a long chat.
Lets your AI see, start, stop, and restart long-running processes like your dev server, and read their logs.
Lets your AI search your codebase offline for symbols, references, and dependencies.
Let your AI review your codebase and suggest which tests to write next, with evidence.
Lets your AI read your project's own rule files so it follows your standards every time.
Lets your AI run terminal commands and see a short summary instead of pages of noisy output.