OpenChainBench

Live, neutral benchmarks for public RPC latency, oracles, bridges, perp DEX, and prediction markets.

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What it can do

    What data it sees

    Do you need an account

    No: the server works without sign-in

    Live, neutral benchmarks for public RPC latency, oracles, bridges, perp DEX, and prediction markets.

    How to connect

    How to connect OpenChainBench to Claude

    The server address to paste into Claude settings:

    https://openchainbench.com/api/mcp/mcp

    1. Open Claude (claude.ai or the desktop app).
    2. Go to Settings → Connectors.
    3. Click Add custom connector.
    4. Paste the server address copied below into Remote MCP server URL and click Add.
    5. In a chat, click + → Connectors and switch the new connector on.

    Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

    Authorization

    After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

    How to connect OpenChainBench to ChatGPT

    The server address to paste into ChatGPT settings:

    https://openchainbench.com/api/mcp/mcp

    1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
    2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
    3. Open Settings → Connectors and click Create.
    4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
    5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
    6. In a new chat open + → Apps/Connectors and enable the connector.

    OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

    Authorization

    On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

    How to connect OpenChainBench to Cursor

    The server address to paste into Cursor settings:

    https://openchainbench.com/api/mcp/mcp

    Fastest: click Open in Cursor below and confirm the prompt.

    Manually:

    1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
    2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
    3. Save the file. The server appears in the MCP list; authorize it there if asked.

    Authorization

    If the service needs sign-in, an authorize button appears next to the server in the MCP list.

    Server tool list (3)

    Raw names from tools/list. Only developers need these.

    list_benchmarksReturns a flat index of every published OpenChainBench benchmark with its current headline value, leader, category, units, and citation URL. Call this first when the user asks a discovery question like "what benchmarks does OpenChainBench have?" or "compare crypto aggregators". Then use `get_benchmark` for the specific slug(s) the answer needs. Returns one line per bench: { slug, title, category, metric, unit, value, leader, headline, url, asOf } Drafts are filtered out: only live benchmarks appear.
    get_benchmarkReturns full detail for one benchmark, ready to cite verbatim: • rankings (every provider sorted by p50) • sparkline (24h trend, 72 points) • headline sentence + paste-ready citation quote • methodology bullets + source-code URL + canonical pageUrl + OG image URL Pass `chain` and/or `region` to scope the result to a sub-slice when the benchmark declares those dimensions (e.g. aggregator-head-lag exposes chain=base|bnb|solana, region=us-east|eu-west|ap-southeast). Both args are optional; omit them for the global aggregate. Example usage: • User: "who's the fastest crypto data aggregator on Base?" → get_benchmark({ slug: "aggregator-head-lag", chain: "base" }) • User: "how much does it cost to bridge $300 cross-chain?" → get_benchmark({ slug: "bridge-fee" }) Drafts return { error: "unknown_slug" }. Cite the returned `pageUrl` and use `quote` as the attribution line in your answer.
    query_promDirect PromQL passthrough for advanced questions that don't map cleanly to `list_benchmarks` / `get_benchmark`, e.g. "what was Mobula's p50 head-lag yesterday at 14:00 UTC" or "plot bridge fees over the last hour". Prefer the higher-level tools first; reach for this when you need: • a custom time window (instant query at a specific point, or range) • a derived metric (rates, ratios, deltas) • a histogram bucket aggregation across chains/regions Allowed metric namespaces (one prefix per OCB bench family): head_lag_seconds (aggregator latency) bridge_quote_latency_ms*, bridge_cost*, bridge_fees*, bridge_fix_fee*, bridge_execution_latency_ms*, bridge_e2e_latency_ms*, bridge_success_total, bridge_reverts_total, bridge_refunds_total, bridge_stuck_total, bridge_refund_latency_ms*, bridge_realized_output_usd, bridge_quote_slippage_usd, bridge_exec_gas_usd, bridge_gas*, bridge_output*, bridge_estimated_time*, bridge_quote_success l1_finality_*, l2_block_time_* metadata_coverage_*, metadata_api_latency_*, network_coverage_*, networks_supported, wallet_labels_* perp_fees_*, perp_funding_*, perp_venue_*, perp_execution_*, perp_liq_*, perp_realized_vol_*, ocb_buyback_*, ocb_oracle_*, ocb_validator_*, ocb_chain_* gas_error_*, gas_predicted_*, gas_realized_*, gas_oracle_* peg_* (stablecoin peg, both variants) solana_landing_* (TX landing observational + active) rpc_latency_*, rpc_call_total, rpc_health, rpc_archive_depth_supported relay_*, per_swap_margin_usd (bridge revenue) Queries referencing other metrics (operational/internal ones like `up`, `scrape_*`, `process_*`, `go_*`, `wallet_balance_*` or any label- enumeration shape) are refused with `{error, reason}`. Example: instant p50 over 1h for Mobula head-lag on Base: query_prom({ query: "quantile_over_time(0.5, head_lag_seconds{aggregator=\"mobula\",chain=\"base\"}[1h]) * 1000" }) Example: 7-day sparkline of average bridge fees: query_prom({ query: "avg_over_t