ODEI MCP Server
OfficialServer Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| ODEI_API_KEY | No | API key from api.odei.ai/integrate/ | |
| ODEI_API_URL | No | Base URL | https://api.odei.ai |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
| resources | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| odei_world_model_queryA | Search ODEI's constitutional world model — a 10,665-node knowledge graph organized into 6 domains (Foundation, Vision, Strategy, Tactics, Execution, Track). Returns nodes with their types, domains, relationships, and metadata. Use this to understand the structure of any domain, find specific entities, or explore how goals connect to execution. |
| odei_guardrail_checkA | Validate an agent action against ODEI's constitutional guardrails. Returns APPROVED, DENIED, or NEEDS_REVIEW with reasoning. Use this before executing any action that could affect finances, reputation, health, or relationships. The guardrail system checks against 7 layers of safety constraints including financial limits, time-of-day restrictions, and value alignment. |
| odei_world_model_signalA | Rapid trust and relevance scoring for a claim, entity, or topic. Returns a confidence score (0-1), relevance to ODEI's world model, and supporting/contradicting evidence from the knowledge graph. Use this for quick validation before making decisions — it's faster and cheaper than a full world model query. |
| odei_smart_contract_auditA | Analyze an EVM smart contract address for security risks. Checks contract verification status, known vulnerability patterns, token safety signals, and cross-references with ODEI's knowledge graph for known entities. Returns a risk score and actionable findings. Supports Base and Ethereum contracts. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
| world-model-summary | Summary of ODEI's world model: node counts by domain, top types, edge count |
| api-health | ODEI API health status and uptime |
TDQS
Scored across 4 tools
Each tool has a clearly distinct purpose: guardrail validation, smart contract auditing, world model querying, and trust scoring. There is no overlap in functionality, and the descriptions clearly differentiate their use cases, making misselection unlikely.
All tool names follow a consistent 'odei_' prefix with descriptive snake_case suffixes (e.g., guardrail_check, smart_contract_audit). This pattern is uniform across all four tools, enhancing predictability and readability.
Four tools is a reasonable count for an MCP server focused on AI safety and blockchain security, but it feels slightly thin given the broad scope implied by the descriptions. Each tool earns its place, but additional tools might be expected for more comprehensive coverage in these domains.
The tools cover key areas like guardrails, smart contracts, and world model interactions, but there are notable gaps. For example, there are no tools for updating or managing the world model, executing actions post-guardrail approval, or handling non-EVM blockchains, which could limit agent workflows in this domain.