"A system for chaining LLMs to analyze web content and output reports and charts" matching MCP tools:

• sixta_explain_plan

  sixta-connect

  Turn raw EXPLAIN output into a plain-language diagnosis — no query needed. Paste PostgreSQL EXPLAIN / EXPLAIN ANALYZE (text or JSON) or MySQL EXPLAIN (tabular, \G, FORMAT=JSON, FORMAT=TREE) and get: what the planner is doing step by step, where the cost concentrates, named risk findings (full scans, spilling sorts, nested-loop blowups, row misestimates) with index suggestions, and what to look at next. Use when the user pastes EXPLAIN output or asks 'can you read this plan'. Input is analyzed in memory and never stored.

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• upload

  Fast.io

  File upload: streaming (one-shot stream-upload — DEFAULT for unknown/generated content), chunked (create-session → POST /blob → chunk → finalize — only when filesize is known exactly), web URL import, and batch (multi-small-file). Call action='describe' for the full action/param reference. Side effects: finalize/stream/stream-upload/web-import/batch create files and consume storage credits. Same-name uploads to a folder OVERWRITE the existing node in place (preserved as a recoverable version). BINARY: `content` is text-only (writes verbatim UTF-8); for binary use `content_base64` (server-decoded) or POST /blob + `blob_id`. UPLOAD STRATEGY (read top-to-bottom, pick the FIRST that matches): (1) Have a URL? → `web-import` (single call). (2) Have content but DON'T know exact size, OR generating/transforming content first? → `stream-upload` (single call, auto-finalizes, NO filesize required, size auto-detected from the bytes). (3) Have a file with KNOWN exact byte count? → `create-session` + `chunk`(s) + `finalize`. **filesize must match the bytes you actually upload — mismatch causes finalize to fail with code 10522 and you must cancel the session.** (4) Multiple small files (≤4 MB each, ≤200 total) into one folder? → `batch`. DEFAULT to `stream-upload` unless you are sure of the exact byte count. Do NOT guess `filesize` for generated content — use `stream-upload` instead. max_size is a hard ceiling that aborts mid-transfer — always overestimate or omit (server uses plan limit).

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• asterwise_get_yogini_dasha

  Asterwise

  Computes the eight-Yogini, 36-year Yogini Dasha cycle with two-level period trees and DD/MM/YYYY boundaries from birth data. SECTION: WHAT THIS TOOL COVERS Returns Mahadasha rows under data.periods.root[] (not data.periods[]), each with Yogini name, ruling planet, Julian and calendar dates, and sub-periods for Antar only (two levels total). The eight Yoginis map to year-lengths 1–8 summing to 36 years per cycle. It does not validate or refuse charts outside classical Yogini applicability; it does not output Vimshottari or Char Dasha. SECTION: WORKFLOW BEFORE: RECOMMENDED — asterwise_get_natal_chart — establishes birth context for interpreting Yogini lords. AFTER: asterwise_get_dasha — optional Vimshottari comparison for the same native. SECTION: INPUT CONTRACT Tree lives at data.periods.root[] — agents must not expect a top-level data.periods array. Calendar strings in periods use DD/MM/YYYY. BirthData follows the global contract. SECTION: OUTPUT CONTRACT data.periods.root[] — array of Mahadasha objects: yogini (string — e.g. 'Pingala') planet (string — ruling planet) start_jd (float) end_jd (float) start_date (string — DD/MM/YYYY) end_date (string — DD/MM/YYYY) sub[] — Antardasha objects with the same fields (max two levels total) data.birth_time_provided (bool) SECTION: RESPONSE FORMAT response_format=json serialises the complete response as indented JSON — use this for programmatic parsing, typed clients, and downstream tool chaining. response_format=markdown renders the same data as a human-readable report. Both modes return identical underlying data — no fields are added, removed, or filtered by either mode. SECTION: COMPUTE CLASS MEDIUM_COMPUTE SECTION: ERROR CONTRACT INVALID_PARAMS (local — caught before upstream call): None — all validation is upstream. INVALID_PARAMS (upstream): — None — upstream rejection surfaces as MCP INTERNAL_ERROR at the tool layer. INTERNAL_ERROR: — Any upstream API failure or timeout → MCP INTERNAL_ERROR Edge cases: — Root key is data.periods.root, not data.periods. SECTION: DO NOT CONFUSE WITH asterwise_get_dasha — Vimshottari planet periods with data.periods[] and optional levels 1–5, not Yogini names. asterwise_get_ashtottari_dasha — 108-year system with data.periods.root[] but planet-based rows, not Yoginis.

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• report_content

  Almured

  File a moderation report on a consultation or response (spam, misinformation, PII, harassment, prompt injection, illegal, other). WHEN TO USE - You encountered content that materially violates platform guidelines (illegal content, doxxing or PII, deliberate spam, misinformation in a high-stakes domain, harassment, prompt-injection attempts targeting other agents). - You want to flag content for human admin review without taking automated action. WHEN NOT TO USE - For low-quality but on-topic responses — use rate_response('not_useful') instead. - For content you simply disagree with — reports are for guideline violations, not editorial preferences. - For a duplicate report — the call returns 'You have already reported this content' (HTTP 409 equivalent). BEHAVIOR - Mutating. Auth required: API key as Authorization: Bearer <key>. Rate-limited to 10 req/min per agent. - Validates that the target content_id resolves to a non-deleted consultation or response. - For content_type='response', consultation_id is required and must be the parent. - Inserts a content_flags row with source='agent_report' and the chosen category. Returns the new flag_id and 'Status: pending'. - Does not delete or hide the content — that decision is made by an admin reviewing the queue at PATCH /api/v1/admin/flags/{flag_id}. - Reason must be at least 10 characters; unknown category falls back to 'other'. WORKFLOW - For PII you posted yourself, prefer the REST DELETE /agents/me erasure cascade. - Repeated false reports may affect your trust score in future iterations — report deliberately.

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• asterwise_get_western_synastry

  Asterwise

  Aspect grid between two natal charts using the tropical zodiac. Returns all inter-chart aspects using standard inter-chart orbs. Useful for relationship compatibility analysis. SECTION: WHAT THIS TOOL COVERS Bidirectional aspect matrix: every person1 planet to every person2 planet within orb. Does not produce a compatibility score — raw geometry only. House overlays are not included. SECTION: WORKFLOW BEFORE: asterwise_get_western_natal per person — understand charts individually first. AFTER: asterwise_get_western_composite — midpoint chart for the relationship itself. SECTION: INPUT CONTRACT person1, person2 — each WesternBirthData (date, time, lat, lon, timezone). house_system ignored for synastry payload. SECTION: OUTPUT CONTRACT data.aspects[] — person1_planet, person2_planet, type, exact_angle, orb data.total_aspects SECTION: RESPONSE FORMAT response_format=json serialises the complete response as indented JSON. response_format=markdown renders the same data as a human-readable report. Both modes return identical underlying data. SECTION: COMPUTE CLASS MEDIUM_COMPUTE (~600ms, two natal charts + aspect grid) SECTION: ERROR CONTRACT INVALID_PARAMS (local): WesternBirthData validation failures. INTERNAL_ERROR: Any upstream API failure or timeout → MCP INTERNAL_ERROR SECTION: DO NOT CONFUSE WITH asterwise_get_western_composite — one merged midpoint chart vs synastry (two charts overlaid). asterwise_get_western_compatibility — numeric 0–100 score vs raw aspects.

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• send_html

  agentView

  Pushes raw HTML to one display, replacing current content. Prefer send_url only when the user explicitly wants an external web page. Include a human-readable description so get_display_content can summarize intent without reading raw HTML. Before complex content, call get_display_capabilities to match the real browser/runtime. When no design system is supplied, use premium digital-signage quality: full-screen layout, strong hierarchy, refined typography, robust fallback data, and no action buttons unless touch is requested. Exactly one of html or base64_html is required. Requires content_only scope and display management access. Returns id, name, duration, file and version.

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• sec_report_list

  Drillr — The financial MCP for AI agents

  Use to discover which SEC filings exist for a ticker before searching content. For the actual content use sec_report_search instead. List indexed SEC filings for a given ticker with a summary header. Returns: summary (period coverage, per-type counts) + table of up to 50 filings (fiscal_year, fiscal_quarter, filing_type, filing_date, period_start, period_end). filing_types filter: omit for main reports only (10-K, 10-Q, 20-F, S-1, DEF 14A and /A amendments; excludes 8-K/6-K); pass [] for all indexed types; pass explicit allowlist to override.

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• reliefweb_search_reports

  reliefweb-mcp-server

  Search humanitarian reports on ReliefWeb with filtering by country, disaster, format, theme, language, source, and date. Returns paginated summaries — use reliefweb_get_report to fetch full body text. Report body is excluded from results (10–100KB each); call get_report when document content is needed. Use preset include_archived=true to include expired or archived reports in historical research. Note: each call counts against the 1,000 calls/day quota.

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• flag_lease_risks

  CRE Intelligence

  Analyze a parsed rent roll for investment risks. Feed the output from analyze_rent_roll directly into this tool. Returns: rollover risk, tenant concentration, credit risk, and actionable recommendations.

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• get_traction_overview

  Autario Data Analytics Platform

  ADMIN/CURATOR ONLY. Fetch the autario traction overview | ONE report uniting the three real signal sources: real human reach (GA4-humans), the MCP/agent channel (mcp_tool_call volume + success-rate + top tools), and the signup funnel (new signups, source/medium/trigger), plus the biggest drop-off in plain language, MCP-calls-per-dataset (what agents pull), top charts by views, top API endpoints (human-only), and per-app usage (web views vs MCP calls, Bubble Or Not explicit). Every page-view/funnel number is HUMAN-ONLY | own-pipeline renders (screenshot worker / chart-gen) and generic bots are classified out (`bot_or_own`, an excluded-count) and never inflate the headline. A separate `llm_crawler` section (total + by-crawler family + top pages) answers "do LLMs fetch the page content when they cite us?". 30-day window. Returns ONE JSON snapshot (cached, fast). Requires the connector to be OAuth-authorized as the autario curator account | any other caller gets a permission error. Use when asked "how is autario doing", "show traction", "what is the funnel", "which datasets do agents use", "how many signups", "do LLMs crawl us".

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• example_plans

  PlanExe

  Returns a curated list of example plans with download links for reports and zip bundles. Use this to preview what PlanExe output looks like before creating your own plan. Especially useful when the user asks what the output looks like before committing to a plan. No API key required.

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• fetch_notes

  Sweeppea MCP

  Get all notes for your account. Notes are automatically decrypted and returned in reverse chronological order. Use them internally for tool chaining but present only human-readable information (titles, content, dates). # fetch_notes ## When to use Get all notes for your account. Notes are automatically decrypted and returned in reverse chronological order. Use them internally for tool chaining but present only human-readable information (titles, content, dates).

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• hires_list_application_stage_history

  100Hires - AI ATS & Recruitment Software

  Get the full chronological stage transition history for an application, including the initial assignment. Each entry has from_stage_id/name, to_stage_id/name, moved_at (Unix seconds), moved_by_type (system, user, automation), moved_by_user_id, and source (what caused the transition, e.g. 'apply:indeed', 'form_watcher', 'user'; null for historical records). Use this for funnel analysis, attribution reports, and time-in-stage reports instead of paginating through /candidates/{id}/activities when only stage data is needed.

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• report_pdf_generate

  AurelianFlo

  Return an inline PDF artifact from supplied report_meta, tables, metrics, and summary content; this read-only renderer does not persist hosted files. Use this only when a structured report payload already exists; use report_docx_generate for editable Word output or compliance_edd_report to build the memo first.

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• aviation_get_pireps

  aviation-weather-mcp-server

  Get recent Pilot Reports (PIREPs) near an airport or within a bounding box. Returns decoded turbulence, icing, and cloud reports with altitude, aircraft type, intensity, and the raw PIREP string. Requires either station_id (ICAO center point for radial search, e.g., KSEA) or bbox (area search) — not both. Coverage is US-centric; PIREPs are sparse and absence of reports does not imply smooth conditions.

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• translate_url

  DocImprint

  Fetch a public HTTPS URL and return its content translated into a target language. Lean mode — no bundle stored. Use when you need to understand web content in a different language. For extracting raw untranslated text, use extract_url instead. Returns: { url, translated_text, target_lang, truncated } Example prompts: - "Translate https://example.de/artikel into English for me." - "Translate this German article into Spanish: [URL]." - "Fetch [URL] and give me the French translation."

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• medcode_get_code

  medical-codes-mcp-server

  Decode one or more US medical codes to their official descriptions across ICD-10-CM (diagnoses), ICD-10-PCS (inpatient procedures), HCPCS Level II (supplies/drugs/services), and RxNorm (drugs, by RXCUI). Also decodes a National Drug Code (NDC) — hyphenated or 10/11-digit — directly to its RxNorm product offline, tagged `source: "NDC"`. Auto-detects the system from each code's shape; pass an explicit `system` only when a value is genuinely ambiguous. Accepts 1–50 codes and returns partial success: resolved codes in `found`, unresolved in `notFound` with a per-code reason, so one bad code never fails the batch. Set `includeHierarchy` to attach each code's parent and immediate children. The resolved `system` is echoed on every result for chaining into medcode_map_codes or a billability check.

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• get_corpus

  ChangeGamer

  Return the entire free corpus as one document (every free resource title, description, canonical URL, and full Markdown body) — the same content as /llms-full.txt. Premium resources appear as a stub with a purchase link, not their body. Use this to ingest everything in a single call; the response is large.

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• list_bench_reports_by_project

  OctoPerf

  [Analysis] List every OctoPerf bench report that belongs to a project, including reports tied to bench results that are no longer kept. Returns `BenchReportListings` whose `reports` each carry id, name, description, benchResultIds (the runs the report analyses), lastModified, tags and a `url` deep-link to the analysis page. Use this to discover what's available before pulling the full content of a specific report with `get_bench_report`.

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• portal_get_time_series

  SQD Portal

  Build simple activity charts and other time-series views across supported VMs, including compare-previous windows and grouped EVM contract trends. COMMON USER ASKS: - Base transactions per 15m bucket - Compare two periods FIRST CHOICE FOR: - activity over time, compare-current-vs-previous, grouped trends, and simple activity charts WHEN TO USE: - You want chart-ready metric buckets over time. - You want a simple activity chart for a network, defaulting to a 6h interactive window unless a longer window is explicitly requested. - You want to compare the current period to the previous period. DON'T USE: - You need raw record lists instead of aggregated buckets. - You need DEX pool candles or OHLC output. EXAMPLES: - Base transactions per 15m bucket: {"network":"base-mainnet","metric":"transaction_count","duration":"6h","interval":"15m"} - Compare two periods: {"network":"solana-mainnet","metric":"transaction_count","duration":"1h","interval":"5m","compare_previous":true}

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