Professional Model Context Protocol (MCP) server ecosystem for Anthropic's Claude Desktop and Claude Code CLI integration.
Claude MCP Tools MCP server exists for a simple reason — assistants are far more useful when they can act on Claude MCP Tools directly instead of describing what you should do. Professional Model Context Protocol (MCP) server ecosystem for Anthropic's Claude Desktop and Claude Code CLI integration.
This repository provides a production-ready ecosystem of 21 MCP servers enabling advanced AI-assisted development workflows. The servers facilitate Claude's interaction with external systems, APIs, and development tools through standardized Model Context Protocol implementations.
Once Claude MCP Tools is connected, these are the calls the assistant has available:
Prerequisites — The Prerequisites tool exposed by this serverInstallation — 1. Clone the repository: bash git clone https://github.com/GrimFandango42/Claude-MCP-tools.git cd Claude-MCP-toolsVerification — Test your setup by asking Claude: "Search memory for server status and show me what MCP servers are available"You will need 5 environment variables: API_KEY, LOG_LEVEL, MCP_LOG_LEVEL, CLAUDE_CODE_MOCK, CLAUDE_CONFIG_PATH. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
fastmcp on PyPI is all you need. Most clients run it directly, so configuration is a few lines and a restart.
Plenty of developer tooling servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Claude MCP Tools's toolset — Prerequisites, Installation, Verification — is a fair guide to whether it matches your workflow. It is maintained by GrimFandango42; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
| Tool | What it does |
|---|---|
| Prerequisites | The Prerequisites tool exposed by this server. |
| Installation | 1. **Clone the repository:** bash git clone https://github.com/GrimFandango42/Claude-MCP-tools.git cd Claude-MCP-tools |
| Verification | Test your setup by asking Claude: "Search memory for server status and show me what MCP servers are available" |
### Configuration Schema
```json
{
"mcpServers": {
"server-name": {
"command": "python",
"args": ["path/to/server.py"],
"cwd": "working/directory",
"env": {
"API_KEY": "your-api-key",
"LOG_LEVEL": "INFO"
},
"keepAlive": true,
"stderrToConsole": true
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| API_KEY | Credential the server authenticates with. | Yes |
| LOG_LEVEL | Configuration value read at startup. | Optional |
| MCP_LOG_LEVEL | Configuration value read at startup. | Optional |
| CLAUDE_CODE_MOCK | Configuration value read at startup. | Optional |
| CLAUDE_CONFIG_PATH | Filesystem location the server is allowed to use. | Optional |
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.