BridgeNode MCP
Server Details
BridgeNode — x402 pay-per-request AI inference. OpenAI-compatible API + MCP, Solana USDC, gas-free.
- Status
- Healthy
- Uptime
- 100.0% over the last 24 hours
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-11-25
- URL
- Repository
- bridgenode-ai/bridgenode-mcp
- GitHub Stars
- 1
- Server Listing
- @bridgenode/mcp
- ChatGPT
- –
- Claude
- –
TDQS
Scored across 3 tools
The three tools have clearly distinct purposes: listing models, estimating request cost, and generating chat completions. The descriptions explicitly cross-reference each other and state what NOT to use each tool for, eliminating overlap.
All names use snake_case consistently, and two follow a verb_noun pattern (get_price_estimate, list_models). chat_completions deviates by being a bare noun phrase without a verb, but the set remains predictable.
Three tools neatly cover the server's focused scope: discover models, price a request, and execute it. Each tool earns its place with no redundancy or bloat.
The core lifecycle—list models, estimate price, then call chat_completions—is fully covered. Minor gaps exist (no streaming, no balance/payment-status query), but the stated non-streaming design limits these and agents can work around them.
Available Tools
3 toolschat_completionsChat completions with x402 paymentAInspect
Send a chat completion request to any supported model. Free models are served without payment; the first calls to a PAID model are also free per client (free trials), after which x402 payment (Solana USDC) is required — an unpaid call returns 402 with the exact price; retry with _meta["x402/payment"]. Responses are non-streaming. Pass either mode (auto/eco/premium) or model (explicit id) — one of the two is required; model wins if both are sent. Use this tool to generate text; inspect models and prices first with the free list_models tool. Start with a FREE model (no payment at all) and keep max_tokens >= 200 — a thinking model spends part of that budget on reasoning, so a smaller limit can return an empty answer.
Inputs: messages (required), mode, model, tools, +2 more. Returns: id, model, usage, object, +2 more
get_price_estimateEstimate the cost of a chat requestARead-onlyIdempotentInspect
Estimate the USDC cost of a chat completion request before paying — free, no payment, no authentication required. Read-only: no state changes and no external calls; the estimate is computed locally from server pricing config, so repeated calls with identical inputs return identical results (idempotent). Use this tool to check the exact price for a given model/mode, messages, and max_tokens before calling the paid chat_completions tool. Provide either mode (auto/eco/premium routing) or model (explicit id, mutually exclusive with mode); one of the two is required — if both are sent, model wins. mode values: auto = cheapest model fitting the context, eco = cheapest available, premium = best model.
Inputs: messages (required), mode, model, max_tokens. Returns: model, amount_usdc, input_tokens, amount_atomic, +1 more
list_modelsList available models and pricesARead-onlyIdempotentInspect
List available models and their prices — free, no payment, no authentication required. Read-only: no state changes; data is served from the server's local config, so repeated calls return identical results (idempotent). Accepts no parameters: the input schema is an empty object, and any arguments passed are ignored. Calling it without arguments returns the complete catalog with per-token prices; there is no filtering, pagination, or configuration. Use this tool to inspect models and prices before calling the paid chat_completions tool. Same data as GET /v1/models (§5.2). Do not use it to generate text (use chat_completions) or to estimate a specific request's cost (use get_price_estimate).
Inputs: no named parameters. Returns: data, object
Tool Schema Changelog
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Related MCP Connectors
Pay-per-call AI infra for agents: DeFi market data, LLM inference, STT/TTS. x402 v2, USDC on Base.
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