AI & Machine Learning
citedagents.com
Search and retrieve metadata and blueprints for science-backed AI agents categorized by research fields.
ENDPOINT 1
https://citedagents.com/api/mcp
MCP server metadata
- Name
- cited-agents-platform
- Version
- 1.0.0
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_agentsSearch the catalog of science-backed AI agents by keyword, field (OECD FORD code), tag, license, or SDK.
Inferred read-onlyget_agent_blueprintGet the complete reproducible blueprint for building and running an agent.
Inferred read-onlylist_fieldsList all OECD FORD (Fields of Research and Development) taxonomy codes used to categorize agents.
Inferred read-onlyget_contributor_kitGet everything needed to build a Cited Agent: the agent.yaml specification, a minimal template, validation rules, and step-by-step instructions.
Inferred read-onlyCONNECT 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.
citedagents.com is assessed as Neutral: No suspicious signals found, but no strong positive signal either
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.