Seneca Research Platform

One prompt. ~100 independent AI models. One report: consensus, disagreements, and minority insights.

What does this entry provide?

Seneca Research Platform is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 100/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding Seneca Research Platform to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.

Snapshot facts

Source: Official MCP Registry
Quality: 100/100
Install method: streamable-http
Repo: Registry only
Repo updated: Oct 14, 2026

Install command

mcp add com.professionalaiagents/seneca https://mcp.seneca.professionalaiagents.com/mcp

Install method: streamable-http

Review the upstream source before running this command.

Source entry

Quality

100

Repo stars

Repo updated

Oct 14, 2026

How is this score calculated?

Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.

MCP manifest

{
  "_meta": {
    "io.modelcontextprotocol.registry/official": {
      "status": "active",
      "isLatest": true,
      "updatedAt": "2026-10-14T07:07:25.129055Z",
      "publishedAt": "2026-10-14T07:07:25.129055Z",
      "statusChangedAt": "2026-10-14T07:07:25.129055Z"
    }
  },
  "server": {
    "name": "com.professionalaiagents/seneca",
    "_meta": {
      "io.modelcontextprotocol.registry/publisher-provided": {
        "publisher": "Professional AI Agents LLC",
        "documentationUrl": "https://seneca.professionalaiagents.com/developers",
        "agentDocumentationUrl": "https://seneca.professionalaiagents.com/developers.txt"
      }
    },
    "icons": [
      {
        "src": "https://seneca.professionalaiagents.com/apple-touch-icon.png",
        "sizes": [
          "180x180"
        ],
        "mimeType": "image/png"
      },
      {
        "src": "https://seneca.professionalaiagents.com/favicon.png",
        "sizes": [
          "64x64"
        ],
        "mimeType": "image/png"
      }
    ],
    "title": "Seneca Research Platform",
    "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
    "remotes": [
      {
        "url": "https://mcp.seneca.professionalaiagents.com/mcp",
        "type": "streamable-http",
        "headers": [
          {
            "name": "Authorization",
            "format": "string",
            "isSecret": true,
            "isRequired": true,
            "description": "Bearer token with a Seneca workspace API key. Create and revoke keys at https://seneca.professionalaiagents.com/developers. Send the header as Authorization: Bearer <SENECA_API_KEY>. Keys begin with seneca_sk_. Store the secret in an environment variable or secret manager; never hard-code or commit it.",
            "placeholder": "Bearer seneca_sk_..."
          }
        ]
      }
    ],
    "version": "1.0.2",
    "websiteUrl": "https://seneca.professionalaiagents.com",
    "description": "One prompt. ~100 independent AI models. One report: consensus, disagreements, and minority insights."
  }
}

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