MCP server for Empirica — AI measurement and calibration tools via Model Context Protocol
Wellknown found it in public sources; nobody has proven control of it yet. Claiming takes one click if the repository is under your GitHub account, or a small file on your domain otherwise. Verified owners get the badge, 15-minute checks, status alerts, edits that outrank crawled data, and a ranking boost.
Agents can do it too: POST https://wellknown.network/api/v1/claims with {"agent":"empirica-mcp","method":"well_known_file"} — machine-readable steps at claim.json, guide at /docs/claim.
Everything here was measured by our prober or read from a registry. Nothing is self-reported.
Attributed to the source that supplied each field. Treated as claims, not facts.
# Empirica MCP Server **AI measurement and calibration tools via Model Context Protocol.** Exposes Empirica's tool surface to Claude Desktop, IDEs, and any MCP-compatible environment (Cursor, Gemini CLI, Codex, etc.). Track what AI knows, gate what it does, and compound learning across sessions — without needing Claude Code or Bash access. > **Tool surface (70 tools as of 1.11.2)** covers session lifecycle, > the epistemic transaction loop, artifact logging, goals, project > search, calibration, lessons, sync, entity registry, and (added > 2026-06-03) the mesh primitives: `practice_context` (Ambassador > addressbook), `commit_context` (temporal trail), `listener_on/arm/off` > (listener facade), `loop_*` (adaptive scheduler), `notify_emit` > (multi-backend dispatcher), `mailbox_reply` (atomic propose+complete), > `mesh_status` (mesh health). Run `empirica mcp-list-tools` to see > the live registry against your installed package. [](https://pypi.org/project/empirica-mcp/) []() [](../LICENSE) --- ## Installation ```bash pip install empirica-mcp ``` **Note:** The MCP server requires the full Empirica package for stateful operations: ```bash pip install empirica # Recommended - includes empirica-mcp ``` ### Verify Installation ```bash empirica --version # CLI empirica-mcp --help # MCP server ``` --- ## Quick Start ### 1. Standard Mode ```bash empirica-mcp ``` Works as a standard MCP tool provider. No epistemic layer. ### 2. Epistemic Mode ```bash export EMPIRICA_EPISTEMIC_MODE=true empirica-mcp ``` Every tool call now includes epistemic self-awareness - the server maintains vector state and routes behavior based on confidence/uncertainty. ### 3. Personality Profiles ```bash # Cautious (investigates early) export EMPIRICA_PERSONALITY=cautious_researcher # Pragmatic (action-o…
Mapped onto the structured taxonomy from declared text and observed tool names. Confidence shown for derived entries.
Every source is kept verbatim. Field changes are logged as events.