ChainMemory MCP Server

Cross-model, cryptographically verifiable memory for Claude, ChatGPT, and any AI agent — own your AI's memory and carry it across every model.

ChainMemory MCP exposes the ChainMemory protocol to any AI agent that speaks the Model Context Protocol. Memories are encrypted at rest (AES-256-GCM, per-user), verifiable with Merkle proofs, and portable across ChatGPT, Claude, Gemini, Perplexity, and any other LLM. No vendor lock-in, ever.

What's new in v2.5.6

Three defects that made tools report confidently wrong things. No new tools.

• list_project_templates never listed anything. It read templates / template_id from a response that returns defaults / project_id, so it always answered "No templates available" — which meant nobody could learn the id that add_project_from_template needs. The whole template flow was unreachable.
• chainmemory_profile got five of eight fields wrong. It read wallet, memory_count, trust_score, registration_block and sealed; the API returns owner, chain_memories / local_memories, reputation and active. Every profile came back with an empty wallet, zero memories, ? reputation and Sealed: no, regardless of the real state. It also had no handling for an API key with no registered identity, printing AI Profile #undefined.
• update_project_state hid the reason when every op was rejected. Rejections were only rendered on the success path, but rejecting all ops leaves the state unchanged and takes the other branch — so the reply said Rejected: 3 and nothing else. The only way to find out why was to guess again and pay the fee again.

What's new in v2.5.5

• audit_memory and audit_state — the two forensic audit endpoints, now reachable from any MCP client. Both accept dry_run: true, which returns the identical result without charging: an audit you can run as often as you like, and pay for only when you need the receipt on record. audit_state costs 5 AIC in its paid form, so the tools default to the dry run.
• Both endpoints were fixed server-side first: they used to charge before validating, so a mistyped id or project name cost the fee and returned 404.

What's new in v2.5.4

Search and full reads

• search_memories — semantic search over your memories (cosine similarity over cached embeddings, blended with recency and importance), returning the full text of each match. Previous versions exposed no search at all
• get_memory — read one memory in full, decrypted from chain, with an integrity check: the server recomputes the event hash from the plaintext and compares it against the hash anchored on-chain
• chainmemory_recall and list_memories_filtered now state plainly that they return 80-character previews, and point to get_memory / search_memories for the full text

Verification — free, and the point of the product

• verify_project_state — public, unauthenticated proof of a Project Brain: every anchored version with its state_hash and on-chain coordinates, plus how to check them yourself in the ProjectStateAnchor contract. No content is exposed
• get_memory_proof — the shareable anchoring proof of a single memory: event_hash plus its on-chain coordinates. A third party verifies it without your API key, and the content is never revealed

Cost control

• quote_inject — price an inject before paying: which ids exist, which don't, tokens, exact cost with its burn/treasury split, and whether your balance covers it
• Correct inject fee — the client now takes the price and the remaining-injects count from the server instead of recomputing them. Previous versions divided by the pre-2026-06-30 price of 0.001 AIC and promised 100× more injects than the balance actually allowed

Roles and hardening

• list_role_contracts — discover a project's roles (id, version, status) before reading a contract or assuming a role. Role ids are not guessable; this removes the failed-call round trip
• include_roles on get_project_state — set to false to get the state without the full text of every signed role contract
• Input hardening — every user-supplied value that reaches a URL is now validated or escaped. Numeric path parameters must be integers, string path parameters are percent-encoded, and query limits are clamped. Invalid input fails locally with a clear message instead of going out to the network
• CHAINMEMORY_API_KEY declared in the MCP manifest — the only mandatory variable was missing from server.json, so registries and installers never prompted for it

What's new in v2.5

• Project Brain — get_project_state consolidates your atomic memories into a structured, versioned, verifiable project state (decisions, risks, constraints, metrics, and environment: where and how you work), and delivers active role contracts with it in a single call
• Verifiable Role Contracts (VRC) — human-signed role contracts for AI agents: get_role_contract (read the contract), assume_role (open an audited Role Session), release_role (close with a summary)
• 34 tools total — memory ops, semantic search, verification proofs, projects, Project Brain, role contracts with audited sessions, selective inject

Quick start

1. Get an API key

Visit https://faucet.chainmemory.ai. You receive an API key (aic_...) and a starter balance of AIC. ChainMemory collects no personal data — your key is your identity.

2. Add to Claude Desktop

Edit your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS, %APPDATA%\Claude\claude_desktop_config.json on Windows):

{
  "mcpServers": {
    "chainmemory": {
      "command": "npx",
      "args": ["-y", "chainmemory-mcp"],
      "env": {
        "CHAINMEMORY_API_KEY": "aic_your_key_here"
      }
    }
  }
}

Restart Claude Desktop. The 34 tools are now available.

3. Try it

• "What do you remember about my projects?" → chainmemory_recall
• "Save this decision: switching to Postgres for the next sprint" → chainmemory_remember
• "Load the project state for my-app" → get_project_state (Brain + active role contracts)
• "Which roles exist for my-app?" → list_role_contracts
• "Assume the architect role for my-app" → assume_role (audited Role Session)

All 34 tools

Memory ops (8)

Verification (4)

Project Brain (2)

Verifiable Role Contracts (6)

Projects (5)

Identity & stats (4)

Cross-platform context (1)

Selective inject — paid (4)

Environment variables

For most users only CHAINMEMORY_API_KEY is needed.

How selective inject works

1. User (or AI) calls inject_memories with a list of IDs
2. Backend checks balance (≥ 0.1 AIC required — Fee Schedule v1.0)
3. Optimistic response (<500ms): plaintexts returned immediately, transactions queued
4. Background: 50% of the fee goes to the ecosystem treasury, 50% is burned
5. get_inject_history shows confirmation status

Architecture

┌─────────────────────────────────────────────────────────────┐
│  AI Agent (Claude Desktop, ChatGPT, any MCP client)         │
└──────────────────┬──────────────────────────────────────────┘
                   │ MCP stdio
                   ↓
┌─────────────────────────────────────────────────────────────┐
│  chainmemory-mcp v2.5  (this package)                       │
└──────────────────┬──────────────────────────────────────────┘
                   │ HTTPS + x-api-key
                   ↓
┌─────────────────────────────────────────────────────────────┐
│  api.chainmemory.ai                                         │
│  - per-user encryption at rest (AES-256-GCM)                │
│  - Project Brain (deterministic builder + state_hash)       │
│  - Role contracts + audited Role Sessions                   │
│  - SQLite + Merkle proofs                                   │
└──────────────────┬──────────────────────────────────────────┘
                   │ JSON-RPC
                   ↓
┌─────────────────────────────────────────────────────────────┐
│  ChainMemory L1 — Chain ID 202604                           │
│  - Geth PoA Clique, 3 validators                            │
│  - Memory contract + daily checkpoint anchoring             │
│  - Project State anchoring (public verification)            │
└─────────────────────────────────────────────────────────────┘

License

MIT