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AI & Machine Learning

citedagents.com

Search and retrieve metadata and blueprints for science-backed AI agents categorized by research fields.

1 endpoint6 known toolsFirst detected May 13, 2026Last detected September 15, 2026

ENDPOINT 1

https://citedagents.com/api/mcp

No auth detected

MCP server metadata

Name
cited-agents-platform
Version
1.0.0
Capabilities
tools
Server instructions

Cited Agents is a platform for discovering and running science-backed AI agents. Every agent is grounded in peer-reviewed research, pinned to an exact Git commit, and fully reproducible. ## Workflow 1. **search_agents** — Find agents by keyword, research field, tag, license, or SDK. 2. **get_agent_blueprint** — Get the complete reproducible blueprint for any agent found in step 1. 3. **Reconstruct & run** — Follow the blueprint's spawn_protocol to clone, install, and run the agent locally. ## Understanding Blueprints The blueprint returned by get_agent_blueprint contains everything needed to reconstruct and run the agent: - **spawn_protocol.install**: Exact shell command to clone the repo at the pinned commit and install all dependencies. Run this as-is. - **spawn_protocol.run**: Exact command to execute the agent entrypoint. - **spawn_protocol.stdin / stdout**: Always "json". Pipe JSON input via stdin, read JSON output from stdout. - **spawn_protocol.required_env**: Environment variables that must be set before running (e.g. ANTHROPIC_API_KEY). - **input_schema**: JSON Schema defining the exact input format the agent expects. - **output_schema**: JSON Schema defining the output format the agent returns. - **construction_instructions**: Human-readable step-by-step build instructions. - **examples**: Example inputs you can use for testing. ## To Run an Agent 1. Execute `spawn_protocol.install` in a shell (clones repo at pinned commit + installs deps). 2. Set all environment variables listed in `spawn_protocol.required_env`. 3. Construct a JSON object matching `input_schema`. 4. Run: `echo '{"your":"input"}' | <spawn_protocol.run>` 5. Parse the stdout JSON and validate it against `output_schema`. ## Hosted Execution (Paid Hosted Access) If you are authenticated with an eligible paid organization subscription, you can use the **run_agent** tool to execute hosted agents directly — no local setup, no API keys, no installation needed. The platform handles everything. 1. **search_agents** — Find an agent. 2. **run_agent** — Execute it with JSON input and get results immediately. This requires OAuth authentication (automatic in ChatGPT and Claude MCP clients) and an eligible paid organization subscription with remaining token quota. ## Other Tools - **get_agent** — Get full metadata (owner, org, citations, taxonomy) without the full blueprint. - **list_fields** — Browse OECD research field taxonomy codes for filtering search results. - **get_contributor_kit** — Get the agent.yaml template, validation rules, and submission instructions for building a new Cited Agent. - **validate_agent** — Validate a GitHub repository's agent.yaml before submission.

Known tools 6

search_agents

Search the catalog of science-backed AI agents by keyword, field (OECD FORD code), tag, license, or SDK.

Inferred read-only
get_agent

Get full metadata for a specific agent by slug or id.

Inferred read-only
get_agent_blueprint

Get the complete reproducible blueprint for building and running an agent.

Inferred read-only
list_fields

List all OECD FORD (Fields of Research and Development) taxonomy codes used to categorize agents.

Inferred read-only
get_contributor_kit

Get everything needed to build a Cited Agent: the agent.yaml specification, a minimal template, validation rules, and step-by-step instructions.

Inferred read-only
validate_agent

Validate an agent.yaml from a GitHub repository before submission.

Inferred read-only

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.cited-agents-platform]
url = "https://citedagents.com/api/mcp"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "cited-agents-platform": {
      "type": "http",
      "url": "https://citedagents.com/api/mcp"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: cited-agents-platform
Remote MCP URL: https://citedagents.com/api/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "cited-agents-platform": {
      "url": "https://citedagents.com/api/mcp"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "cited-agents-platform": {
      "type": "http",
      "url": "https://citedagents.com/api/mcp"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "cited-agents-platform",
  "transport": "streamable-http",
  "url": "https://citedagents.com/api/mcp"
}
MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

TRUST AND VERIFICATION EVIDENCE

Trust Data Available

BuiltWith Trust API v2 evidence for citedagents.com was fetched 2026-08-04T04:08:13.063Z and is being refreshed.

Trust status Neutral

citedagents.com is assessed as Neutral: No suspicious signals found, but no strong positive signal either

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.