Agent Loop MCP Server

All components are designed for modularity, minimalism, and functional programming style.

Local serverstdioPython

What is the Agent Loop MCP Server?

All components are designed for modularity, minimalism, and functional programming style.

What the server does

  • Conversational AI agent powered by Anthropic Claude or OpenAI GPT
  • Configurable AI provider and temperature — via environment variables
  • Pragmatic loop control — with iteration limits and completion detection
  • Tool execution with optional human confirmation (--safe mode)
  • Debug mode for transparency (--debug)
  • Custom tools support — with automatic discovery and display

Credentials and setup notes

  • Python: >= 3.12 - Core Python dependencies: - anthropic >= 0.51.0 - halo >= 0.0.31 - mcp[cli] >= 1.9.2 - openai >= 1.79.0 - plotext >= 5.3.2 - python-dotenv >= 1.1.0 - requests >= 2.32.3 - sympy >= 1.14.0 - Recommended for installation: - uv (for fast dependency installation) - Optional/for full tool support: - Node.js (for some MCP server integrations

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

Recorded tools

Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.

ToolWhat it does
bashExecute bash commands
sympyPerform symbolic mathematics operations using SymPy
cli_plotRender advanced terminal charts and plots using plotext
filesystemRead, create, update, append, delete files with UTF-8 encoding
list_dirList the contents of a directory for quick file discovery
codebase_searchSemantic code search for relevant code snippets in the project
file_searchFast fuzzy file search by filename or path fragment
grep_searchSearch for exact strings or regex patterns in files
curlMake HTTP requests using curl
project_inspectorInspect the current project directory and preview source files
kubectlRun kubectl commands to interact with a Kubernetes cluster
aws_cliRun AWS CLI v2 read-only commands to interact with AWS services

How to install the Agent Loop MCP Server

{
  "mcpServers": {
    "brave-search": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-brave-search"],
      "env": { "BRAVE_API_KEY": "..." }
    },
    "mcp-obsidian": {
      "command": "npx",
      "args": ["-y", "mcp-obsidian", "/path/to/obsidian-vault/"]
    }
  }
}

Configuration as documented by the project. Restart the client after saving.

Configuration

  • Python: >= 3.12 - Core Python dependencies: - anthropic >= 0.51.0 - halo >= 0.0.31 - mcp[cli] >= 1.9.2 - openai >= 1.79.0 - plotext >= 5.3.2 - python-dotenv >= 1.1.0 - requests >= 2.32.3 - sympy >= 1.14.0 - Recommended for installation: - uv (for fast dependency installation) - Optional/for full tool support: - Node.js (for some MCP server integrations
VariableDescriptionRequired
BRAVE_API_KEYCredential the server authenticates with.Yes
ANTHROPIC_API_KEYCredential the server authenticates with.Yes
OPENAI_API_KEYCredential the server authenticates with.Yes
JIRA_BASE_URLEndpoint or connection string the server talks to.Yes
JIRA_API_TOKENCredential the server authenticates with.Yes
CONFLUENCE_BASE_URLEndpoint or connection string the server talks to.Yes
CONFLUENCE_API_TOKENCredential the server authenticates with.Yes

Example prompts to try

  • “Use Agent Loop to Drop.”
  • “Use Agent Loop to Auto-discovered.”
  • “Use Agent Loop to bash.”

Frequently asked questions

All components are designed for modularity, minimalism, and functional programming style. Confirm the tools offered by your installed version in the connected client. Tool availability and permissions depend on the server and account configuration.