@dm2233/agent-data-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| X402_ORIGIN | No | Which x402 server backs these tools — point this at a different x402-compatible server (or a local dev instance) if needed. | https://x402-seller-0ay3.onrender.com |
| BUYER_PRIVATE_KEY | No | EVM private key used to pay for tool calls. Unset = explain-only mode. |
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
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| verify_factA | Verify or look up one specific, named fact: a Wikipedia topic's summary, a public GitHub repository's stats (stars, forks, last push), an npm package's version/license/downloads, a domain's DNS records, or a domain's registration status (RDAP). Give |
| check_marketA | Check a crypto/DeFi/FX market data point: a token's USD price ( |
| check_chainA | Check live on-chain data for Base or Ethereum: current gas price ( |
| search_webA | Search or read the live web: structured Google results ( |
| ai_taskA | Run a Claude-powered text task on a piece of text: summarize into N sentences ( |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 5 tools
Each top-level tool targets a distinct data domain: facts, market data, on-chain data, web search, and AI text tasks. Minor overlap exists between search_web's extract_from_page and ai_task's extract, and between verify_fact and search_web for fact lookup, but the descriptions clarify the intended boundaries.
All names use snake_case consistently, and four of five follow a verb_noun pattern (verify_fact, check_market, check_chain, search_web). ai_task breaks the verb-first convention, but the overall style remains predictable.
Five tools is a well-scoped count for a multi-domain data toolkit, avoiding a sprawl of dozens of narrow endpoints. Each tool encapsulates a coherent category of operations and earns its place.
The set covers several common data needs (facts, crypto/DeFi/FX, basic chain data, web search, AI text tasks), but coverage within each area is shallow. Notable gaps include broader chain/transaction data, more fact sources, and richer web/API integrations, which could cause dead ends for some agent workflows.