Skip to main content
Glama
743,471 tools. Updated 2026-11-04 21:04

"Finding a Simple SSE Server for Testing Goose Remote Extension Capability" matching MCP tools:

  • START HERE when asking "which agent should I hire for this capability?" One call to vet a `capability` before you delegate: returns the best-evidenced agent with an evidence verdict — `estimate` (0-1), `confidence`, and a checkable `explanation` — plus a ranked shortlist, machine-checkable PROOF the Guild improves outcomes (provenance-labelled), and how to contribute back. Read estimate AND confidence together and apply your own risk threshold: a high estimate with low confidence means thin evidence. This is a PAID trust read (same price + policy as GET /check on every transport). When the rail is active, an unpaid call returns a complete x402 payment challenge for the canonical HTTP resource; retry with the payment in the request _meta['x402/payment'] (official x402 MCP meta key). Schema-driven agents that cannot set request metadata may pass that same signed PaymentPayload as `x402_payment`. Or pass a funded `api_key` for SANDBOX credits (never revenue). Free while the service is in soft-launch. Example: guild_check(capability="fact-check") Returns {capability, best_agent, verdict, shortlist, proof, why_trust_this, how_to_contribute}. Use guild_search / guild_risk_score for finer control.
    ConnectorNo auth
  • Use this when you need the exact interest rate that grows a principal to a target amount over a set number of years. type="compound" (default) uses the closed-form nth-root formula for the given compounding frequency; type="simple" uses linear growth. Requires target greater than principal and all values positive. Returns the annual rate as a percent plus the interest earned and the growth multiple; compoundingPerYear is null for simple interest. Deterministic: same input, same output. Example: principal=1000, target=2000, years=10, compoundingPerYear=12 -> ratePercent=6.9515, growthMultiple=2. Prefer this over trial-and-error.
    ConnectorNo auth
  • Set YOUR notification preferences for one or more categories. Categories you do not mention keep their current setting. Use resetCategories to drop your override so a category follows the organization default again — an entry in categoriesJson can only set an override, never remove one. Valid categories: api_design, testing, project, mock_server, style_guide, team, portal, monitoring, security, billing, deprecation. Use this for your own preferences; for the organization defaults use update_org_notification_defaults.
    Connector
    Destructive
    API key
  • Returns the plain-language meaning and step-by-step fix for one Malinois finding. Use it while helping the user fix an issue reported by scan_app, or when they ask what a finding means. Pass the rule_id exactly as scan_app returned it. Read-only, no network, instant.
    ConnectorNo auth
  • List available exascale.build data capabilities for agent discovery before querying. Also call this BEFORE stating that a capability is not available — client tool lists are cached and this surface grows; anything listed here is reachable via query_capability_v1 even if your tool list predates it.
    ConnectorNo auth
  • Opens a persistent SSE connection that emits events as the task progresses. The stream closes automatically when the task reaches a terminal state or after ~90 seconds (timeout). Heartbeat comments are sent every ~15 seconds to keep the connection alive through proxies. Event types: - `status` — emitted when status changes (pending → running → complete/failed) - `result` — emitted on `complete` with the full result payload - `error` — emitted on `failed`, `cancelled`, or `expired` with error info - SSE comment (`: heartbeat`) — keepalive, no data Use this tool when: - You want real-time progress without polling. - You are in an environment that supports SSE (EventSource API). Do NOT use this tool when: - You want a simple one-shot status check — use `get_task` instead. - Your HTTP client doesn't support streaming responses. Inputs: - `task_id` (path, required): 26-char ULID. Returns: - SSE stream (`text/event-stream`). Each event is `event: <type>\\ndata: <json>\\n\\n`. Cost: - Free. Counts as one request against rate limits when the stream opens. Latency: - First event: <200ms. Stream duration: up to 90s.
    ConnectorNo auth

Matching MCP Servers

Matching MCP Connectors

  • Get rich recent airings and current queue evidence for a PoolParty channel. Returns aired blocks with title, media type, timestamps, proof-of-play status, and reward status. Also returns current queue positions with mintStatus and poolEligibility so agents can distinguish pre-mint, mint-pending, minted, pool-eligible, and ineligible blocks. get_channel_feed is a rich feed and may be large. Use it for diagnostic recent airing and queue evidence, mintStatus, poolEligibility, proof, and reward readbacks. For first-pass channel awareness, use get_channel_stream(channelSlug="main", limit=10) or the REST /api/channels/main/activity snapshot; use /api/channels/main/activity/stream when an SSE watch is intended. Read-only. No auth required.
    ConnectorNo auth
  • Explain how HelloBooks and Munimji (the in-app AI assistant) help a specific business — given a free-text description of the user's own operations. Returns a curated capability knowledge base: business-operation areas (sales, purchases, banking, tax, reports, inventory, payroll, multi-entity, setup), and for each AI capability WHO does the work — `autonomous` (Munimji does it on its own, e.g. OCR extraction, running reports), `approval` (Munimji prepares the entry and you one-click approve before it posts to the ledger, e.g. AI categorization, find-and-match, creating invoices/bills by chat), `assist` (co-pilot, e.g. guided onboarding, voice), or `manual` (a software feature you run yourself). Each capability links to the backing software features. Use this when a user describes their business and asks "how can HelloBooks help me?", "what can the AI do for my shop/practice/agency?", or "what can Munimji do on its own vs what do I approve?". Pass their description in `businessDescription`; optionally filter by `area` or `autonomy`. The AI never posts to a ledger without approval. For the full software catalog call list_features; for pricing call list_plans.
    ConnectorNo auth
  • Explain how HelloBooks and Munimji (the in-app AI assistant) help a specific business — given a free-text description of the user's own operations. Returns a curated capability knowledge base: business-operation areas (sales, purchases, banking, tax, reports, inventory, payroll, multi-entity, setup), and for each AI capability WHO does the work — `autonomous` (Munimji does it on its own, e.g. OCR extraction, running reports), `approval` (Munimji prepares the entry and you one-click approve before it posts to the ledger, e.g. AI categorization, find-and-match, creating invoices/bills by chat), `assist` (co-pilot, e.g. guided onboarding, voice), or `manual` (a software feature you run yourself). Each capability links to the backing software features. Use this when a user describes their business and asks "how can HelloBooks help me?", "what can the AI do for my shop/practice/agency?", or "what can Munimji do on its own vs what do I approve?". Pass their description in `businessDescription`; optionally filter by `area` or `autonomy`. The AI never posts to a ledger without approval. For the full software catalog call list_features; for pricing call list_plans.
    ConnectorNo auth
  • Use workspace_create for a persistent 30-day agent economics workflow instead of one stateless batch. Price 0.25 USDC. Capability tokens are returned once; the workspace stores submitted events within quota. Use profit_calculate when retention is unnecessary. Stored evidence is not independently audited.
    ConnectorNo auth
  • Use first when a buyer is exploring LeadProof without supplying workflow data. Returns the official no-purchase sequence: buyer guide, fictional example audit, browser-only calculator, public workflow tests, and no-card trial. For a scored workflow diagnosis, use audit_lead_workflow; for replay testing, use get_leadproof_replay_trial; for paid checkout, use get_leadproof_checkout only after authorization.
    ConnectorNo auth
  • Search the index of open job postings. Use for a one-off question about the job market: who is hiring for a role, what is open in a city or country, which companies have remote positions. Returns a page of job records plus a `meta.next_cursor` to continue; each record has title, company, structured locations, remote flag, employment type, salary when the board publishes one, and an apply URL. Descriptions are omitted unless `include_description` is set, because they are large. To find what has *changed* since you last looked, use job_changes instead — do not poll this tool in a loop.
    ConnectorNo auth
  • Browse or fetch capability descriptors (keys, modes, schemas). Use hydracept_resolve_capability when routing from intent alone. List/resolve is keyless; a bearer key may add project-scoped fields. No charge. Read-only. Returns: Capability list or single CapabilityDescriptor when key is set. Errors: NOT_FOUND for unknown key; INVALID_ARGUMENT for conflicting query parameters.
    ConnectorNo auth
  • Export the exact previewed owned ticket to Jira or Linear, using expected_export_hash from preview_ticket_export and the same destination. Requires explicit integrations:write, tickets:write, and independent human approval of the complete preview. Persists the operation before possible remote writes. After an uncertain response, inspect list_ticket_provider_effects and reconcile the original intent; never blindly export again. Remote confirmation is observed, not atomic protection against concurrent remote writers.
    ConnectorNo auth
  • Impairment testing: goodwill impairment and intangible impairment under US GAAP (ASC 350) or IFRS (IAS 36). Method selects the formula. Use for annual or triggering-event impairment testing; goodwill_impairment compares a reporting unit's carrying value with its fair value. To compute the initial goodwill or allocation use valuation_goodwill_ppa; for the underlying asset fair values use the relevant asset-type tool. Per method: goodwill_impairment needs carrying_value + fair_value (optional: reporting_unit, standard); intangible_impairment needs carrying_value (optional: fair_value, recoverable_amount, standard). fair_value is required for ASC350; recoverable_amount is required for IAS36. Only method is required; all other parameters are method-dependent — supply those the selected method names and omit the rest (defaults apply where defined). Rates and premiums are decimals (0.10 = 10%). Pure arithmetic: no I/O and no external calls, rounded to 2 decimals; parameters belonging to other methods are accepted and ignored. An unknown method, or a missing method-required parameter, returns an error instead of a value.
    ConnectorNo auth
  • Get one attachment of a remote note — a file, not text. Canonical loop: federated_note_html(kb_id, path) -> for each name in its assets: federated_asset(kb_id, note_path=<that path>, name=<name>). Returns the asset's size and sha256 and a short-lived download URL on this server that streams the file from the remote base; fetch it with curl (the URL needs no other credential) and check the sha256. The file itself never comes back in the tool result. Only a directly connected base: kb_id without '/'.
    ConnectorNo auth
  • List security/safety findings for your workspace, most recent first. Optionally filter by status, target model, minimum severity, or a specific run. Returns a compact summary; call get_finding for the repro detail of any one finding. On a plan that withholds a finding's proof, category reads '[redacted]' and get_finding returns the same — the finding and its severity are real, the evidence is withheld. Paginated: 200 findings per page (max 200). The result carries total_matched and, when there is more, next_cursor: pass it back as 'cursor' with the same filters (it is bound to them) to read the next page, until it is absent.
    ConnectorOAuth
  • Seller side, for testing your own seller agent: submit a signed HaggleBoard offer (format v0) plus your Ed25519 public key. You see the need through a disclosure filter and only your own messages. Not affiliated with any store, brand or platform. HaggleBoard is not a party to any sale.
    ConnectorNo auth
  • Disable one skill by deleting its capability binding (find binding ids with list_skills or list_capability_bindings). The skill immediately stops appearing in the capability catalog and can no longer be routed or executed; the deletion is permanent. Disabling is idempotent: repeating the call on an already-disabled or never-existing binding returns success with already_absent: true instead of an error. Returns binding_id with disabled: true. Use this only for permanent removal — re-enabling later requires a fresh enable_skill call.
    Connector
    Destructive
    No auth
  • Update ONE existing Mallory finding in place — its status, severity, confidence, title, summary, body, remediation, qualifier or asset_details. Use it when new information changes an already-filed finding: the problem was fixed, it turned out not to apply, a vulnerability proved reachable, corroborating intel changes how bad it is. WRITES IMMEDIATELY to the caller's own organization's data, and the result is visible in the Mallory UI to everyone in that organization. There is no preview and no confirmation step — calling this tool IS the write. Only call it when the user has asked for the change. - uuid identifies the finding. Get it from listFindings or getFinding, or from a createFinding DUPLICATE outcome's `existing_finding_uuid`. Never construct or guess one. - ONE finding per call. To change status or severity across a SET of findings you can only describe ("dismiss all the unrotated-secret findings", "mark everything on foo/bar medium"), use bulkUpdateFindings — do NOT loop this tool over a selection. - The finding's identity — definition_slug, asset_type, asset_identifier — cannot be changed. A different problem, or the same problem on a different asset, is a new finding (createFinding). - body REPLACES the stored text rather than appending to it. To add to a finding, read the current text first with getFinding and send the combined text, or the prior detail is lost. There is no evidence field on update: new evidence goes into body as prose. - qualifier is part of core's open-finding dedupe key, so changing it can collide with another open finding on the same asset (CONFLICT). In user-facing status messages, use "fixed" and "mark as fixed" consistently. ENUM VALUES ARE CASE-SENSITIVE AND EACH FIELD HAS ITS OWN SET. severity is UPPERCASE (CRITICAL, HIGH, MEDIUM, LOW, INFO). status is lowercase with exactly three values: open, fixed, dismissed — "resolved", "closed" and "assigned" are not statuses, and neither are the resolution reasons (false_positive, accepted_risk, not_applicable, duplicate, fixed_externally, other), which belong to a separate field this tool does not set. Use "fixed" when the problem was remediated and "dismissed" when it is accepted or not applicable. Setting status back to "open" is allowed but unusual — the product has no reopen button — so confirm the user really means to reopen the finding. OUTCOMES: either ok:true with the updated finding, or ok:false with a code — NOT_FOUND (no such finding in this tenant: do not retry, re-read the uuid), CONFLICT (an open finding already occupies that identity), INVALID (a rejected field, or no fields to change), PLAN_LIMIT (findings are not included in this tenant's plan — the request was fine, nothing is broken, nothing was written: say so and do not retry).
    ConnectorAPI key
  • READ ROOM PRESENCE. Read-only. Returns the active 'participants' list ({nick, role: 'human'|'llm', model?, via: ('ws'|'sse'|'http')[]}) and 'count', ordered with humans first and 🤖 LLMs second. USE WHEN: you need to see who is currently connected in the room before coordinating tasks or @mentioning a participant. Passing 'llm_key' also refreshes your 120s HTTP LLM presence. DO NOT: poll this tool in a loop; participant lists are already returned by chat_join, chat_messages, and chat_wait_events.
    ConnectorNo auth