OpenSwarm: Agent for Claude Code

.claude/agents/api-researcher.md

api-researcher is an agent for Claude Code from VRSEN/OpenSwarm. It costs 16 tokens per session (1,398 once invoked), scanned A, a copy of api-researcher, MIT.

A research assistant for finding existing MCP servers and APIs for software integrations. MCP, or Model Context Protocol, is a standard way for an AI application to discover and use tools provided by another service.

In plain words
What is it for?
Use it to find integrations for services such as files, GitHub, GitLab, Slack, PostgreSQL, or SQLite while building Agency Swarm tools.
Why use it?
It helps avoid building and maintaining a custom connection when a suitable built-in or MCP-based integration already exists. It also gives a defined order for checking official, package-based, community, and custom options.

Agent for Claude Code

Written for Claude Code: installed under .claude/. Also seen: model in frontmatter; positional $N argument.

This is VRSEN/OpenSwarm's own configuration. It tells Claude Code how to work on OpenSwarm itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything OpenSwarm configures →

About the project

OpenSwarm is an open-source multi-agent system in which specialized agents coordinate to produce deliverables such as presentations, research reports, data visualizations, documents, images, and videos. It is intended for people who want to request complex creative or analytical work from a terminal, with connections to external services. Its catalogue entries define agents, commands, rules, and instructions for those workflows.

VRSEN/OpenSwarm · 2,873 stars · on GitHub

Reuse

Borrowing it

Nothing to install: this file belongs to VRSEN/OpenSwarm. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/VRSEN/OpenSwarm/main/.claude/agents/api-researcher.md
Clone the repo
git clone --depth 1 https://github.com/VRSEN/OpenSwarm

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for api-researcher

README.md
[![agentmods](https://agentmods.dev/badge/agents/vrsen/openswarm/api-researcher/github.svg)](https://agentmods.dev/agents/vrsen/openswarm/api-researcher)
Your own site
<a href="https://agentmods.dev/agents/vrsen/openswarm/api-researcher"><img src="https://agentmods.dev/badge/agents/vrsen/openswarm/api-researcher/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for api-researcher

Your own site · 80×15
<a href="https://agentmods.dev/agents/vrsen/openswarm/api-researcher"><img src="https://agentmods.dev/badge/agents/vrsen/openswarm/api-researcher.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 16 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,398 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 95% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00016 $0.01398
Opus 5.5 $0.00006 $0.00559
Sonnet 5.5 $0.00003 $0.00280
Haiku 4.5 $0.00002 $0.00140

Measured 1mo ago against content hash 5cdb6a653170, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

api-researcher scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

95% identical to api-researcher — 40 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.claude/agents/api-researcher.md · 188 lines

How it starts

The opening of the file, as written. The whole thing — 188 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Research MCP servers and APIs for Agency Swarm v1.0.0 tool implementation, strongly prioritizing MCP servers.

Background

MCP (Model Context Protocol) servers are the preferred integration method in Agency Swarm v1.0.0. They provide:

  • Standardized tool interfaces
  • No custom code maintenance
  • Automatic tool discovery
  • Built-in error handling
  • Community support and updates

Research Priority

  1. Built-in Tools First: Built in tools are preferred over MCP servers.
  2. MCP Servers First: Always check for existing MCP servers
  3. Official MCP Registry: https://github.com/modelcontextprotocol/servers
  4. NPM Packages: Search @modelcontextprotocol/*
  5. Community MCP: Search GitHub for mcp-server-* repos
  6. Custom APIs Last: Only if no MCP server exists

Known MCP Servers

Common MCP servers to check for:

  • @modelcontextprotocol/server-filesystem - File operations
  • @modelcontextprotocol/server-github - GitHub integration
  • @modelcontextprotocol/server-gitlab - GitLab integration
  • @modelcontextprotocol/server-slack - Slack integration
  • @modelcontextprotocol/server-postgres - PostgreSQL
  • @modelcontextprotocol/server-sqlite - SQLite
  • @modelcontextprotocol/server-memory - Memory/knowledge base
  • @modelcontextprotocol/server-puppeteer - Web automation
  • @modelcontextprotocol/server-brave-search - Web search
  • @modelcontextprotocol/server-fetch - HTTP requests

Web Search Tool (Built-in)

Agency Swarm has a built-in tool for web searchs. If the agent requires web searchs, you can simply include it in the agent's tools list.

from agents.tool import WebSearchTool

tools = [WebSearchTool()]

Process

  1. Understand agency's functionality needs from concept
  2. For each capability needed:
    • Search for MCP server first
    • Check official registry
    • Search npm for @modelcontextprotocol
    • Search GitHub for community servers
  3. If MCP found:
    • Document server package name
    • Note installation command
    • List available tools
    • Document any configuration needed
    • Research API key requirements
  4. If no MCP (rare):
    • Research traditional API
    • Document endpoints and auth
    • Find official documentation for API keys
  5. Research how to obtain each API key:
    • Find official signup/documentation pages
    • Note free tier availability
    • Document exact steps to get keys
    • Include any approval wait times
  6. Save findings to agency_name/api_docs.md

Read the full file on GitHub · 188 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 188 lines · 16 tokens per session scan A 5cdb6a653170

Subscribe to this mod's changes

api-researcher is an agent published in the GitHub repository VRSEN/OpenSwarm (2,873 stars, last pushed 3mo ago), licensed MIT. It adds 16 tokens to every session and 1,398 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 95% identical to api-researcher, differing in 40 lines, and is treated as a copy.

Related

Other agents, from other repositories

playwright-test-generator

Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.

microsoft/playwright · 151 tokens

.NET-Notebook-Migration-Agent

Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.

microsoft/ai-agents-for-beginners · 33 tokens

AVM Owner Triage

Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.

github/awesome-copilot · 61 tokens

Ultimate Transparent Thinking Beast Mode

Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.

github/awesome-copilot · 11 tokens

Context7-Expert

Expert in latest library versions, best practices, and correct syntax using up-to-date documentation.

github/awesome-copilot · 22 tokens

code-reviewer

Performs thorough code reviews for the Notebooks in the Cookbook repo, focusing on Python/Jupyter best practices, and project-specific standards. Use this agent proactively after writing any significant code changes, especially when modifying notebooks, Github Actions, and scripts.

anthropics/claude-cookbooks · 52 tokens