"A tool for finding and replacing text strings in files or code" matching MCP tools:

• tela_get_doc_content

  DERO MCP Server

  Composite: fetch the actual file content stored in a TELA-DOC-1 contract. A DOC's file (HTML/CSS/JS/...) lives inside a DVM-BASIC comment block in the contract code — NOT in a stored variable — so this tool fetches DERO.GetSC, confirms the SCID is a DOC, and extracts the file bytes. Gzip-compressed files (a `.gz` filename, the TELA-CLI default) are transparently base64-decoded + decompressed to plaintext. Large files paginate via offset. When to call: when a user wants to READ or inspect the actual code/markup a TELA app file holds (e.g. "show me the HTML of this TELA DOC", "what does this app's app.js contain"). Get DOC SCIDs from tela_inspect on an INDEX first. PREFER this over dero_get_sc: that returns the raw DVM contract wrapper; this extracts just the embedded file content and reports docType, size, and signature presence. Input Requirements: - `scid` is REQUIRED. Must be 64 hex chars and reference a TELA-DOC-1 contract (an INDEX or non-TELA SCID returns INVALID_INPUT with guidance). - `offset` is OPTIONAL. Byte offset into the extracted content; pass `next_offset` to read the next chunk of a large file. - `topoheight` is OPTIONAL. Omit for the latest committed state. Output: `{ scid, topoheight, filename, doc_type, sub_dir, content_embedded, content, content_offset, content_length, content_truncated, next_offset, compressed, decompressed, stored_filename, signature, signature_note, note, narrative, related_docs }`. `content` is the plaintext file (a 60000-char chunk; paginate via `next_offset`), or null when content is not embedded (DocShard/STATIC/external). `compressed` is true for `.gz` files; `decompressed` is true when this tool gunzipped them (`filename` then strips `.gz`; `stored_filename` keeps the on-chain name). The contract's author signature presence is reported but NOT cryptographically verified.

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• send_message

  Fast MCP Telegram

  Send text and optional file attachments to a Telegram chat. Supports reply-to (including forum topics and channel discussion groups), parse_mode: classic markdown/html/auto (entities) or rich (Rich Message document; dialect auto-detected). parse_mode=rich cannot be combined with files. File attachments as http(s) URLs, local paths, or data: URIs. When files are provided, the message text becomes a caption. For channel posts with reply_to_id, automatically posts in the linked discussion group. Success: dict with message_id, date, chat, text, status='sent', and sender info (rich messages also set rich=true and rich_format). Error: dict with ok=false and error string. Use send_message to create new messages; use edit_message to modify existing ones. Use send_message_to_phone when targeting a phone number instead of a chat_id. Full documentation: https://github.com/alexeyleshchenko/fast-mcp-telegram/blob/main/docs/Tools-Reference.md

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• send_message

  fast-mcp-telegram

  Send text and optional file attachments to a Telegram chat. Supports reply-to (including forum topics and channel discussion groups), parse_mode: classic markdown/html/auto (entities) or rich (Rich Message document; dialect auto-detected). parse_mode=rich cannot be combined with files. File attachments as http(s) URLs, local paths, or data: URIs. When files are provided, the message text becomes a caption. For channel posts with reply_to_id, automatically posts in the linked discussion group. Success: dict with message_id, date, chat, text, status='sent', and sender info (rich messages also set rich=true and rich_format). Error: dict with ok=false and error string. Use send_message to create new messages; use edit_message to modify existing ones. Use send_message_to_phone when targeting a phone number instead of a chat_id. Full documentation: https://github.com/alexeyleshchenko/fast-mcp-telegram/blob/main/docs/Tools-Reference.md

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• redact_text

  mcp

  Use this when scrubbing test/dev text: replaces each occurrence of the given terms with block characters (████). Provide `text` plus `terms` (a comma-separated string or an array of strings). By default it matches whole words only using Unicode boundaries (so "ann" will not match inside "annual") and is case-insensitive; set `caseSensitive` to match exactly, `wholeWords: false` to match substrings, or `fixedWidth: true` to hide each term's length behind a constant-width bar. Returns the redacted text and a replacement count, and never echoes the original terms. Deterministic: same input, same output. Truly sensitive text is better redacted client-side at clean.tools/text-redact/. Example: {text: "Contact Jane Doe", terms: "Jane Doe"} -> redacted "Contact ████████", redactedCount 1.

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• query_power_fuel_cost_v1

  osint

  Query verified raw EIA-923 fuel receipts and delivered fuel costs. Returns one Page 5 Fuel Receipts and Costs row per published receipt: plant/month, fuel, supplier, purchase type, source physical quantity, and delivered cost in EIA's stated cents/MMBtu. Filter by plant, month/range, exact source strings, state, fuel, cost status, or source-reported balancing authority code; `{"state":"TX","balancing_authority_code":"ERCO"}` returns an ERCOT slice in one call. Quantity units remain fuel-specific (short tons, barrels, or Mcf). EIA withholds costs for some plants. The raw `.` marker is preserved in `fuel_cost_raw`, the numeric cost is null, and `fuel_cost_status` explicitly reports `withheld` for unregulated receipts. Missing is never zero or imputed. This tool does not derive heat rates, efficiency, marginal cost, generation cost, or $/MWh; combine the cited raw atoms outside exascale.build if analysis requires those judgments. Every quantity or cost can be verified against its exact workbook cell.

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• hatch

  Hatch

  Create a NEW site (a 'roost') and return its public URL in one call. Returns `{ tenantId, slug, url, apex, uploads? }` — show `url` to the user and remember `tenantId`. NEVER call hatch twice for the same site — use `convert` to rename or change tier, and `upload`/`deploy` for content updates. Pick `apex` from the user's intent (homes / estate / land / wedding / events / agency / site / omit for theroost.dev). Do NOT invent other apexes. Four ways to call it: • Omit `manifest`, `site`, and `script` → a placeholder page is published instantly (best zero-token first turn). • Pass `manifest` (file list with sizes) → returns presigned `uploads[]`; you PUT each file's bytes directly to its URL. PREFER this for any project with images, fonts, video, or more than a few KB of HTML. • Pass `site` (inline files map) → small text-only sites only. Files are sent in the request body, so this is expensive in tokens for anything bigger than a handful of HTML/CSS files. • Pass `script` → advanced: full server-side code as one ES module (1.5 MiB max, text only — NEVER base64-embed binaries here).

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• resolve_names

  Google Maps

  Resolves a batch list of specific location queries (landmark names or exact addresses) into canonical Google Maps Place IDs. **Input Requirements (CRITICAL):** 1. **`queries` (array of objects - MANDATORY):** A list of location queries to resolve. You may specify up to 20 queries. * **Each query object must have:** * **`text` (string - MANDATORY):** The text query representing a specific place name or address to resolve. * **Examples:** `'Googleplex, Mountain View, CA'`, `'1600 Amphitheatre Pkwy, Mountain View, CA'`, `'Eiffel Tower, Paris'`. 2. **`location_bias` (object - OPTIONAL):** Use this to prioritize results near a specific geographic area. * **Format:** `{"viewport": {"low": {"latitude": [value], "longitude": [value]}, "high": {"latitude": [value], "longitude": [value]}}}` 3. **`region_code` (string - OPTIONAL):** The Unicode CLDR region code (two-letter country code, e.g., `US`, `CA`) of the user to bias the results. **Instructions for Tool Call:** * Specificity (CRITICAL): Queries must represent a specific place name or address. General searches like `'restaurants'` or chain names like `'Starbucks'` are not supported. * Do NOT call this tool if the downstream tools you plan to invoke already accept raw address or place name strings directly. **Error Handling (CRITICAL):** * This is a batch processing tool. A request might return "mixed results" (e.g. some queries resolve successfully while others fail). * The output list of `results` is guaranteed to map 1:1 with the input `queries` indices. A failed query will result in an empty `Result` message (no `entity` is set) at its corresponding index in the `results` list. * You **MUST** check the `failed_requests` map field in the response to identify which specific query index failed. The key of `failed_requests` represents the 0-based index of the failed query in the request. Do not assume the entire batch call failed because of a partial failure.

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• map_loinc_to_snomed

  Medical Terminologies MCP

  This tool looks up a LOINC code in NLM Clinical Tables and returns guidance on where to obtain a LOINC → SNOMED CT mapping. It does not perform the mapping. Direct LOINC → SNOMED CT mappings are not freely available via API. UMLS Metathesaurus contains the relationships but requires an individual UMLS Terminology Services license; the LOINC SNOMED CT Expression Association is published by Regenstrief Institute as part of the LOINC release and requires authenticated download from loinc.org under the LOINC license. For programmatic LOINC → SNOMED mapping, use UMLS or the LOINC Expression Association files. For interactive lookup, use the SNOMED CT browser available to your organization or the Regenstrief RELMA desktop tool. Provide a LOINC code like "2339-0" (Glucose) or "718-7" (Hemoglobin).

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• check_pricing

  Ground Truth - Fresh Evidence for AI Agents

  Fetch a public pricing page and extract first-pass pricing signals before you quote plan costs, free tiers, or plan names. Use this when you already have a likely pricing URL and need a quick live scan of visible page text. It returns price-like strings, heuristic plan labels, free or free-trial signals, and cache information. It does not map prices to exact plans, normalize currencies, execute checkout flows, or guarantee that a price applies to a specific region or customer type. JavaScript-rendered, logged-in, or heavily obfuscated pricing details can be missed. Results are cached for 5 minutes.

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• tfgenerate

  InsideOut (Riley)

  WORKFLOW: Step 3 of 4 - Generate Terraform files from completed design Generate Terraform files from an InsideOut session that has completed infrastructure design. ⚠️ PREREQUISITE: Only call this AFTER convoreply returns with `terraform_ready=true` in the response metadata. DO NOT call this while convoreply is still running or before terraform_ready is confirmed! If you get 'session has not reached terraform-ready state', wait for convoreply to complete first. 🎯 USE THIS TOOL WHEN: convoreply has returned with terraform_ready=true, OR the user asks to 'see the terraforms', 'generate terraform', 'show me the code', etc. **DEFAULT RESPONSE**: Returns summary table + download URL (keeps code out of LLM context). **FALLBACK**: Set `include_code: true` to get full code inline if curl/unzip fails. **CRITICAL WORKFLOW** (default mode): 1. Call this tool to get file summary and download URL 2. ASK the user: 'Where would you like me to save the Terraform files? Default: ./insideout-infra/' 3. WAIT for user confirmation before running the download command 4. Run the curl/unzip command with the user's chosen directory 5. If curl/unzip FAILS (sandbox, security, platform issues), retry with `include_code: true` **AFTER GENERATION**: Ask user if they want to review the files and then deploy with tfdeploy REQUIRES: session_id from convoopen response (format: sess_v2_...). OPTIONAL: include_code (boolean) - set true to return full code inline as fallback. 💡 TIP: Examine workflow.usage prompt for more context on how to properly use these tools.

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• check_text

  WSC - Writing Style Checker

  Analyze text for writing style issues: weasel words, passive voice, duplicate words, long sentences, nominalizations, hedging, filler adverbs, and research-cited AI tells. Read-only and stateless — text is analyzed in memory on the hosted server and never stored. Returns a plain-text report with each issue's line and column, the matched text, surrounding context, and the reason for AI tells; texts over 100,000 characters return an error message. This hosted server has no filesystem access — the wsc-mcp npm package adds a check_file tool for local files. It only reports issues — to auto-remove duplicate words, follow up with fix_duplicates.

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• get_product_detail

  GuruWalk

  Get the full detail of one or more tours or activities on GuruWalk in a single call. Pass an `items` array — each entry has its own type, product_id and language, and is processed independently. Returns a `results` array where every entry echoes its `product_id` and `type` so you can match each response to its request. Always batch when you need details for several tours (e.g. before recommending or comparing them): send them all in one call instead of invoking this tool several times. Each successful entry returns description, images, reviews, duration, available languages, cancellation policies, and meeting point info. Paid `product` entries also return `highlights`, `included`/`excluded`, `pricing_from`, and `where` (address + coordinates). `free_tour` entries return `itinerary` as a flat array of point-title strings (no descriptions), plus `guide.name`, `meeting_point_url`, and `how_to_find_me`. Meeting point shape differs by type: paid `product` returns the address text plus coordinates in `where`; `free_tour` returns `meeting_point_url` (Google Maps link), `meeting_point_latitude` and `meeting_point_longitude` (use these coords as destination for routing), plus `how_to_find_me`: a free-text note written by the guide describing how the traveler can recognize them at the meeting point. Per-item errors (product not found) are reported inside that item's result without failing the rest of the batch. Use this tool whenever the traveler asks what a tour covers, which places it visits, its itinerary, route, description, meeting point, duration, or any content-related question. Always call this tool BEFORE answering questions about a specific tour — never give generic opinions or advice without consulting the real data first. Supports en, es, de, it; any other value falls back to English. Pass the traveler's language code anyway and translate the answer into their language. Each result includes the tour's url — when recommending or confirming a tour, share it so the traveler can open it to book.

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• get_tafsir_text

  Tarteel MCP Server

  INTERNAL/preparatory tool — text-only, no widget rendered. NEVER use as the user-facing answer to any 'show me / explain with tafsir…' request — use ayah_tafsir for that (the default interactive widget). Use this ONLY when EITHER (a) the user explicitly asks for plain text / raw text / text-only output (e.g. 'give me just the commentary text', 'no widget'), OR (b) you will chain the result into another tool in the same turn without showing it to the user. When in doubt, prefer ayah_tafsir. Do not follow ayah_tafsir with this tool — that is duplicated work. Each query must include at least one of languages or tafsir_slugs. Use ayah keys in 'surah:ayah' format (for example '2:255'). Limits: max 20 queries per request and max 50 total ayah+tafsir items.

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• set_param

  kernelcad

  Use this when you need to edit a param() default value in a kernelCAD script. Returns the modified code as text plus diagnostics from re-evaluating the result. Caller persists the new code via standard file-write tools (this tool has no side effects).

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• glim_github_search

  glim.sh

  Search GitHub repositories, conversations (issues+PRs), or code, with full GitHub search syntax in the query: qualifiers (repo:, org:/user:, language:, path:, symbol:, content:, is:, stars:, label:, sort:stars), boolean AND/OR/NOT with parentheses, "exact strings", and /regex/. kind='repos': MINIMAL distinctive keywords - the project/library name only ('rtk', 'react query'); every extra word must ALL match and buries the canonical repo - filter with qualifiers, not prose. kind='code': ONE literal code pattern as it appears in files ('useState('), an "exact string", a /regex/, or symbol:name to find definitions, across 2.8M+ public repos; narrow with repo:/language:/path:. Not supported in code search: license:, enterprise:, is:vendored, is:generated. kind='conversations': returns compact previews - use glim_github_get for full content; sort: REPLACES relevance ranking (words match anywhere incl. comments), omit it for best matches. Set repo='owner/name' to scope to one repository (works with any kind; with repos it routes to conversations). kind is optional - inferred from the query (is:/label: -> conversations, path:/symbol://regex/ -> code, stars:/topic: -> repos, else repos). Returns compact text by default; pass format='json' for full structured data.

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• review_code

  review-mcp

  Adversarial multi-model code review. Submit a diff, a module, or a spec+implementation and get back a structured pass/fail verdict with each issue's type, severity, location, explanation, and suggested fix. Why call this instead of reviewing your own output: a single model shares its blind spots with itself. This routes your code through a panel of *different* models plus a set of deterministic detectors, catching what self-review misses — path/contract violations, module incoherence (dangling imports, broken cross-references), syntax and call-arity regressions in a diff's post-image, and 'prose instead of tool calls' (output that describes an action rather than emitting it). The panel adds semantic judgment on top and never overrides a deterministic finding. Call it before shipping or merging, as a second opinion on a risky change, or as a gate in an autonomous build loop. Choose depth='fast' (one model, low latency) or 'deep' (full panel, higher recall). Deep review audits files of any size in milestone chunks so every panel model contributes; the price (shown in the 402) and the payment window scale with file size. Per-call limit ~1,600 lines — larger inputs return 413, so split by file/module and call once per file. Paid per call via x402 (USDC on Base); the price is announced in the 402 response before any charge.

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• deploy_site

  vibedeploy

  Publish a website to a live URL. Deploy a static site or single-page app you built (with AI or by hand) to your platform subdomain (e.g. {name}.vibedeploy.be or {name}.vibedeploy.eu) with automatic SSL, and optionally a custom domain. The fastest way to get a localhost project or an AI-generated site online. DESTRUCTIVE on existing sites: replaces every file on the named site with the supplied set. Files not in this call are deleted. For a new site, creates and provisions it. For an existing site, requires `confirm: "I-want-to-replace-all-files"` to proceed; without confirm the call is rejected before anything is touched. Use update_site (default mode:'patch') if you want to add or change individual files without removing the rest. Use dryRun:true to preview the diff. LARGE FILES: don't split a big text file across a placeholder deploy + chunked follow-ups — a 100-250 KB HTML/CSS/JS file fits in THIS call when sent with encoding:'gzip+base64' (gzip locally, base64 the result; text compresses 3-5×). The site is published at your platform subdomain (e.g. {name}.vibedeploy.be or {name}.vibedeploy.eu). After deploy, call add_custom_domain to also serve at a user-owned hostname.

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• resolve_product_code

  EU Trade Explorer

  Resolve a free-text query or CN code(s) into validated product code(s) with descriptions -- the recommended first step before using a code as `product` in any other tool's `query`. Saves the search -> validate -> (optional) subtree round-trip: a bare keyword runs a search, a single code (or comma-separated list) is validated and described directly. Tip: Comext/CN nomenclature is frequently coarser than a colloquial product name (e.g. there is no code for "glass jars" alone -- only heading 7010, which bundles jars with bottles, flasks and closures). Check `has_subcodes` and, if useful, set `include_children=true` to see whether a finer sub-code is actually a better match before committing to one code for a whole report.

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• create_text_post

  Wiplash

  Publish one public Markdown text post as a selected agent owned by the signed-in human operator. Use list_my_agents first to obtain the agent ID. Use the dedicated code tools for code requests and reviews; App and Cabana posts are not available through this connector release. Call only after the user explicitly confirms the exact title, body, tags, agent, and optional karma reward.

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• show_tours_activities

  GuruWalk

  Present a selection of tours or activities to the traveler as a visual list of cards (photo, rating, price, booking button) rendered inline in the conversation. Showing cards is the default way to present tours to the traveler: whenever your reply features specific tours (recommendations, a shortlist, availability results), call this tool alongside your text instead of waiting to be asked. Don't re-render a selection you already showed unless it changed. Call it AFTER finding tours with the search tools — it is a presentation tool, not a search tool. If you already checked availability with get_product_availability, you can pass each item's sessions (date and start time) and the cards will highlight them with booking links preselecting the date. For clients without UI support the same data is returned as structured text.

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