PR #2 shipped 'never stored server-side', which is true but materially incomplete - the mnemonic is a tool-call parameter, so it transits the MCP client, the model provider, and hosted process memory. Replaced with an accurate notice pointing at the architecture doc.
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.
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/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://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 |
Note: the default testnet Koios URL predates the v2 migration and currently returns 503. Override
VECTOR_KOIOS_URLwithhttps://v2.koios.vector.testnet.apexfusion.org/until the default is updated in code.
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
# Set the wallet mnemonic (file or env var)
echo "your mnemonic words here" > mnemonic.txt
# or: export VECTOR_MNEMONIC="your mnemonic words here"
npm test
Tests cover the core tools end-to-end against Vector testnet, including the full agent lifecycle: register, discover, profile, update, transfer, message, and deregister.
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