EarlyFrame MCP server

• Registry nameme.earlyfra/earlyframe-mcpverified in the MCP registry

The registry name sits under earlyfra.me. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.

• Stateanswerschecked 2026-10-27
• Tools19
• Server calls itselfearlyframe-mcp-server
• Server version7.1.2
• Protocol version2025-06-18

On 2026-10-27 the server answered initialize and tools/list without a sign-in. First answer in 185 ms.

• Its tools do every use case we checked: Rescue plain text TradingView alerts into structured JSON; Drop duplicate webhook bursts before they reach channels.
• Checked on 1 of the 7 days it takes to judge reliability.

Said by rules from the measurements above. The likely first call is a model's pick from the tool list; read its description before relying on it.

• INITE MCP scoreafter a weeka score needs 7 daily checks: 1 so far
• What an agent can do with it2 of 2 use cases
• Answeredmeasuring1 of the 7 daily checks it takes to print a share
• Median first answer134 ms
• Space in an agent's context≈ 3,205 tokensthe definitions of all its tools (19), which an agent carries on every turn
• Tool definitionsA · 99 of 100
• Typed results0 of 19 toolsdeclared outputSchema: results come typed, read once

• Parameters without a description: in 1 of 19

A program checks the server once a day: initialize and tools/list, no model. Tokens are the definitions' length at about four characters a token. The grade averages six checks of every tool's name, description, schema and annotations; it says how well the tools are described, not whether they work. The score weighs what was measured and nothing else: answering (25%), doing the product's job (25%), definitions (20%), context (10%), use (10%) and how readily a client connects (10%). A part that was not measured is left out, and a hidden instruction caps the score at 40. The state of vendors' MCP servers: method and numbers →

• list_routes

  List all deployed 1-to-4 webhook routes, isolated whk_ ingest URLs, filter rules, and quota metrics for the authenticated EarlyFra.me Master Passkey.

• inspect_live_telemetry

  Fetch the latest 25 webhook execution logs (delivered and dropped signals, inbound edge location, per-target delivery latency in ms, and rescued JSON fields) from Edge Isolate RAM.

• simulate_webhook_frame

  Run a zero-quota dry-run simulation of a raw plain-text or JSON webhook payload against a route's filter rules, templates, and Edge AI synthesis.

• create_or_update_route

  Programmatically deploy or update a 1-to-4 fan-out route on the global edge (requires Neural Frame tier for write operations via MCP).

• rotate_route_token

  Cryptographically rotate a route's public whk_... webhook ingest token without altering the Master Passkey. The previous URL stops working immediately.

• list_plans

  Return every subscription and credit top-up an AI agent can buy programmatically, with prices, quotas, accepted crypto currencies, and the checkout/claim endpoints. No authentication required.

• subscribe_plan

  Create a crypto checkout for a subscription plan and receive a concrete deposit address so an autonomous agent or treasury can settle it without a browser. Poll claim_subscription afterwards to obtain the Master Passkey.

• claim_subscription

  Exchange the claim_token from subscribe_plan for the provisioned Master Passkey. Poll until status is "completed"; returns api_key, tier, quota_limit and expiry.

• get_subscription_status

  Return the authenticated passkey's tier, plan, quota usage, expiry, routes, registered agent identity and callback delivery history.

• purchase_quota_boost

  Create a crypto checkout that adds extra webhook quota to an existing paid passkey (e.g. agent_credit_100k, apex_overage_500k). Poll claim_subscription afterwards.

• set_agent_callback

  Register, rotate, or clear the HTTPS webhook that receives HMAC-signed subscription lifecycle events for this passkey.

• synthesize_edge_ai

  Run EarlyFra.me Edge AI over a raw webhook payload (JSON, form, or plain text) and return ai_summary, ai_sentiment and ai_score. Requires Neural Frame.

• query_signal_memory

  Read the durable state plane for a Master Passkey: recently archived webhook executions (delivered / filtered / retry_pending / dlq_failed) and the signal legs currently parked in a confluence window, so an agent can see what is waiting…

• arm_confluence_trap

  Programmatically arm or disarm a route's stateful signal gate: entity scope field, required confluence tags, sliding window and per-entity cooldown. Requires the Neural Frame tier. Use it to wait for N independent confirmations on the…

• replay_historical_signal

  Re-run an ARCHIVED webhook against the route's CURRENT filter, enrichment, blackout, confluence and template rules — a time-travel backtest against real past traffic. dry_run=true reports the exact rule evaluation and transformed output…

• inspect_inbound_payload

  Read the bytes a sender actually POSTed to an ingest URL, before any parsing, enrichment or filtering — one execution by event_id, or the newest few for a route. Telemetry reports what the edge decided; this reports what arrived, which is…

• extract_schema_tokens

  The Intelligent Schema Extractor as an agent call: walks every retained inbound payload for a route and returns the {{dot.paths}} you can reference in a template — nested objects as data.object.amount, array projections as…

• preview_alert_template

  Dry-run a template against a payload without saving a route or charging quota: returns the rendered title and body, the exact JSON each configured destination would receive, which tokens were omitted because the payload did not carry…

• update_route_template

  Write template_title, template_body and the custom JSON remapper onto an existing route in one call. The edit is partial: every field you leave out keeps its stored value, so destinations, noise-gate rules and stateful gates survive a…