Vector MCP Server

MCP (Model Context Protocol) server for Vector - the Apex Fusion eUTXO L2. Enables AI agents (Claude, GPT, Gemini, or any MCP client) to interact with Vector natively: query balances, send transactions, deploy and interact with smart contracts, manage on-chain agent identities, and submit protocol improvement proposals.

Built on Ogmios + Koios - no Blockfrost dependency.

Vector mainnet is live. Full guides: Vector AI documentation.

Hosted servers - no install

Hosted instances run on both networks, exposing all 23 tools:

Network	Endpoint
Mainnet	https://mcp.vector.mainnet.apexfusion.org/sse
Testnet	https://mcp.vector.testnet.apexfusion.org/sse

Connect from Claude Code in one command:

claude mcp add --transport sse vector-mcp https://mcp.vector.mainnet.apexfusion.org/sse

Security notice — custody. Signing tools currently take your wallet mnemonic as a tool-call parameter. It therefore passes through your MCP client, your model provider, and the hosted server's memory — it is not written to disk, but it is exposed. Use only a hot wallet holding funds you can afford to lose, and prefer self-hosting until the non-custodial migration lands. See docs/architecture/non-custodial-split.md.

Self-hosting instructions are below.

Local signer (non-custodial path)

packages/signer is a local MCP server that holds your key and signs transactions locally instead of handing your mnemonic to a shared host. It has no network access at all — stdio transport, no Provider, no egress — so a key given to it never reaches a shared server or your model provider.

See packages/signer/README.md for configuration, its tools, and known limitations — including the gap that matters most right now: the hosted builder's tools above still require your mnemonic as a call parameter, so pairing the signer with this hosted builder does not yet remove the custody exposure described above. Closing that gap is the next stage of the migration described in docs/architecture/non-custodial-split.md; until it ships, the security notice above still applies.

Features

• Wallet management - derive addresses from mnemonic, query balances and UTxOs
• Transactions - send AP3X and native tokens, build multi-output transactions, dry-run simulations
• Smart contracts - deploy Plutus/Aiken validators, lock and spend UTxOs at script addresses
• Agent registry - register, discover, update, transfer, and deregister on-chain AI agent identities via soulbound NFTs
• Agent messaging - send on-chain messages between agents via TX metadata
• Self-Improvement Module - browse, submit, critique, and endorse improvement proposals (live on Vector mainnet)
• Safety controls - per-transaction and daily spend limits, persistent audit log, rate limiting
• SSE transport - HTTP server with Server-Sent Events for MCP client connectivity

MCP Tools (23)

Wallet & Queries

Tool	Description
vector_get_balance	Get AP3X and token balances for any address
vector_get_address	Get the wallet address, balance, and holdings from a mnemonic
vector_get_utxos	List UTxOs for an address or wallet
vector_get_spend_limits	Check spend limits, daily usage, and audit log
vector_get_transaction_history	Get transaction history for a wallet

Transactions

Tool	Description
vector_send_apex	Send AP3X (respects spend limits)
vector_send_tokens	Send native tokens with optional AP3X
vector_build_transaction	Build multi-output transactions (sign+submit or return unsigned CBOR)
vector_dry_run	Simulate a transaction without submitting - estimate fees and validate

Smart Contracts

Tool	Description
vector_deploy_contract	Deploy a Plutus V1/V2/V3 or Aiken validator to the chain
vector_interact_contract	Lock AP3X at a script address or spend from it with a redeemer

Agent Registry

Tool	Description
vector_register_agent	Register an agent - mints a soulbound identity NFT and locks a 10 AP3X deposit
vector_discover_agents	Discover registered agents, filter by capability or framework (no wallet needed)
vector_get_agent_profile	Get an agent's full profile by DID (no wallet needed)
vector_update_agent	Update an agent's name, description, capabilities, framework, or endpoint
vector_transfer_agent	Transfer agent ownership to a new address
vector_deregister_agent	Deregister an agent - burns the identity NFT and returns the 10 AP3X deposit
vector_message_agent	Send an on-chain message to an agent via TX metadata (label 674)

Self-Improvement Module

Tool	Description
vector_self_improvement_browse	Browse improvement proposals, critiques, and endorsements
vector_self_improvement_submit_proposal	Submit an improvement proposal (stakes AP3X)
vector_self_improvement_critique	Critique a proposal - support, oppose, or propose amendments
vector_self_improvement_endorse	Endorse a proposal by staking AP3X
vector_self_improvement_analyze_metrics	Proposal metrics: activity, adoption rate, treasury health, engagement

Agent DIDs follow the format: did:vector:agent:{policyId}:{nftAssetName}

Self-hosting

1. Install and build

npm install
npm run build

2. Configure environment (optional)

cp .env.example .env
# Edit .env with your endpoint URLs (defaults point to Vector testnet; mainnet URLs below)

The mnemonic is passed per-call by the MCP client rather than stored in the environment. This avoids environment dumps, but does not make it private — see the security notice above.

3. Run

npm start
# Server listens on port 3000 (configurable via PORT env var)

4. Add to Claude Desktop

Add to your Claude Desktop MCP config (claude_desktop_config.json):

{
  "mcpServers": {
    "vector": {
      "command": "node",
      "args": ["/path/to/vector-mcp-server/packages/builder/build/index.js"],
      "env": {
        "VECTOR_OGMIOS_URL": "https://ogmios.vector.testnet.apexfusion.org",
        "VECTOR_SUBMIT_URL": "https://submit.vector.testnet.apexfusion.org/api/submit/tx",
        "VECTOR_KOIOS_URL": "https://koios.vector.testnet.apexfusion.org/",
        "VECTOR_EXPLORER_URL": "https://vector.testnet.apexscan.org"
      }
    }
  }
}

For mainnet, use the mainnet endpoint table below. (No local setup needed if you use the hosted servers above.)

Docker

npm run build
docker build -t vector-mcp .
docker run -p 3000:3000 vector-mcp

Configuration

Variable	Description	Default
PORT	HTTP server port	3000
VECTOR_OGMIOS_URL	Ogmios HTTP JSON-RPC endpoint	https://ogmios.vector.testnet.apexfusion.org
VECTOR_KOIOS_URL	Koios REST API endpoint	https://v2.koios.vector.testnet.apexfusion.org/
VECTOR_SUBMIT_URL	Transaction submit API	https://submit.vector.testnet.apexfusion.org/api/submit/tx
VECTOR_EXPLORER_URL	Block explorer base URL	https://vector.testnet.apexscan.org
VECTOR_SPEND_LIMIT_PER_TX	Max lovelace per transaction	100000000 (100 AP3X)
VECTOR_SPEND_LIMIT_DAILY	Max lovelace per day	500000000 (500 AP3X)
VECTOR_AUDIT_LOG_PATH	Persistent audit log file path	./vector-audit-log.json
VECTOR_RATE_LIMIT_PER_MINUTE	Max tool calls per minute	60

Mainnet endpoints

Variable	Mainnet value
VECTOR_OGMIOS_URL	https://ogmios.vector.mainnet.apexfusion.org
VECTOR_SUBMIT_URL	https://submit.vector.mainnet.apexfusion.org/api/submit/tx
VECTOR_KOIOS_URL	https://v2.koios.vector.mainnet.apexfusion.org/
VECTOR_EXPLORER_URL	https://vector.apexscan.org/en/

Testing

npm run test:unit

No wallet, no network — pure logic only (CBOR encode/decode assertions).

npm run test:smoke

Builds the server, boots it, and asserts the exposed tool inventory matches the checked-in snapshot. No wallet, no external network. CI runs this and test:unit on every PR.

echo "your mnemonic words here" > packages/builder/mnemonic.txt
npm run test:integration

Requires mnemonic.txt in packages/builder/ containing a funded Vector testnet mnemonic. Covers the core tools end-to-end against Vector testnet, including the full agent lifecycle: register, discover, profile, update, transfer, message, and deregister. Never runs in CI.

npm run test:smoke:signer

Builds the local signer (packages/signer), boots it over stdio, and exercises all four of its tools, including the fail-closed audit-write-failure path. No wallet, no network. CI runs this on every PR alongside the two smoke tests above.

export VECTOR_SIGNER_MNEMONIC_FILE=/absolute/path/to/testnet-mnemonic.txt
npm run test:integration:signer

Requires a funded Vector testnet wallet. Builds a real unsigned transaction the way the hosted builder does (no key), then has the local signer decode, policy-check, and sign it against live chain data. Never submits. Never runs in CI. See packages/signer/README.md.

Architecture

┌──────────────────────┐      ┌──────────────────────────┐
│  Claude / GPT / etc. │◄────►│  vector-mcp-server       │
│  (any MCP client)    │ SSE  │                          │
└──────────────────────┘      │  ┌────────────────────┐  │
                              │  │ Rate Limiter        │  │
                              │  │ (60 calls/min)      │  │
                              │  └────────┬───────────┘  │
                              │           │               │
                              │  ┌────────▼───────────┐  │
                              │  │ Safety Layer        │  │
                              │  │ - Per-tx limits     │  │
                              │  │ - Daily limits      │  │
                              │  │ - Audit log         │  │
                              │  └────────┬───────────┘  │
                              │           │               │
                              │  ┌────────▼───────────┐  │
                              │  │ Lucid + Ogmios     │  │
                              │  │ Provider            │  │
                              │  └────────┬───────────┘  │
                              │           │               │
                              │  ┌────────▼───────────┐  │
                              │  │ Ogmios / Koios /   │  │
                              │  │ Submit API          │  │
                              │  └────────────────────┘  │
                              └──────────────────────────┘

About Vector

Vector is Apex Fusion's eUTXO L2, running Cardano mainnet parameters (Conway era, Plutus V3). Sub-1-second optimistic finality and deterministic fees make it a natural chain for AI agent workloads. Mainnet is live.

• Docs: https://apex-fusion.github.io/vector-ai-documentation/
• Explorer (mainnet): https://vector.apexscan.org/en/
• Explorer (testnet): https://vector.testnet.apexscan.org
• Apex Fusion: https://apexfusion.org