754,210 tools. Updated 2026-11-07 02:02
"A server for context7 MCP" matching MCP tools:
- Compares the two most recent scorable audits stored for ONE URL and reports the movement: score and grade before → after, which checks improved, which regressed, with both run timestamps. This is the progress meter of the fix loop. USE THIS to prove a deploy actually moved the number: lekta_audit → apply the fixes → deploy → lekta_audit again → lekta_diff. DO NOT use it to compare two different URLs or two pages of one site — it takes ONE url and compares that page against its own history — and do not call it when fewer than two scorable audits exist for that URL, which returns an error rather than a partial answer. For the ranked work list use lekta_fix_plan; for the current state of a page use lekta_audit. COST AND BEHAVIOUR: free and idempotent — reads storage only, no fetch, no quota; it never triggers an audit, so no diff exists until you have run lekta_audit twice yourself. Runs that could not be scored (grade U) and runs where a rule crashed server-side are excluded from the comparison entirely, so a failed re-audit is never reported as a regression — it simply is not there. When the engine version changed between the two runs the output says so, because part of the delta is then ours rather than yours.ConnectorAPI key
- Purpose: return the rCB and virgin carbon black price benchmark structure - the virgin N550 series as anchor, the rCB band expressed as 25-40% of that anchor, feedstock prices, international references, regional spreads, grade-level bands and cost structure. Guidelines: leave product and section empty for the full set; narrow with section='rCB' / 'feedstock' / 'international' / 'cost'; pair with get_elt_price_index for feedstock indices and get_rcb_index for the layered index series. Limits: reference bands and relative structure only - no exchange quote and no trading recommendation; ELT feedstock absolute prices are deliberately not published; every figure is a range, never a single transactable value. Ex: get_price_benchmark(section='rCB'), get_price_benchmark(product='N330', language='en'), get_price_benchmark(section='cost', response_format='json').ConnectorNo auth
- Semantically analyze N already-produced model outputs for the SAME task (the MCP counterpart to the LLM Sandbox). Without a reference: computes consensus — pairwise cosine agreement, the most-representative output, and the outlier. With a `reference` (ground truth): also ranks every output by closeness (token cosine + ROUGE-L composite) and names the closest. No LLM, no key, runs locally. The reference mode is gate-able in CI; the consensus/outlier mode is a signal (no reference to fail against). You bring the outputs (2+). For a 2-way head-to-head with structural JSON diff use compare_responses instead.ConnectorNo auth
- Lexical hallucination check: verifies an LLM answer's words, numbers and polarity against the provided source/context. Fast, deterministic, no API key needed. Each answer sentence is aligned to its best-matching source sentence, so a number only counts as support when it sits on the SAME statement ("founded in 1998" is not grounded by "sold 1998 units"), and a negation or antonym flip against that sentence returns verdict "contradicted" — the corrupted-fact hallucination that reuses source vocabulary. Limitations: still lexical — it cannot follow a paraphrase, a synonym, or multi-sentence reasoning, so a "well_grounded" verdict means "nothing lexical found", never "verified true". For entailment use run_semantic_tests (NLI/embedding) or a calibrated judge.ConnectorNo auth
- Checks whether an agent's spending authority is real, live and large enough, before you do work for it. Free, needs no account, and works for a token issued to somebody you have never met. Returns the remaining budget, the scopes, and whether anything above it in the chain has been revoked. Use this instead of trusting a claim: the answer is signed, so you can keep it.ConnectorNo auth
- Start charging for an MCP server the user owns. Use when they want to monetize, sell, charge for, get paid for, put a price on, or make money from a server, API or tool. Buyers pay their wallet DIRECTLY on-chain — PayGate never holds the money, so there is no payout to wait for, no balance to withdraw and no commission taken. Their server is never modified and needs no payment code. Tools are imported automatically, so it must be publicly reachable over HTTPS and answer tools/list. Returns a proxy URL and a secret api_key shown only once; save it, every other seller tool needs it.ConnectorNo auth
Matching MCP Servers
- AlicenseNot gradedqualityBmaintenance面向 Codex、WorkBuddy 等 AI 工具的知你AI助手合并版 Skills,涵盖当前会话分诊、客户查询与画像、历史会话检索、客户分群和 API Key 用量查询,并连接个微、企微、视频号、微信小程序、公众号、服务号、微信客服、微信小店、抖音号、小红书、微博、网站及H5客服等渠道。MIT No Attribution
- AlicenseNot gradedqualityCmaintenance这是面向智能运维场景的 MCP 工具服务,让 Agent 能够按需检索日志内容并获取主机与应用的监控指标数据。它把实时的日志与指标证据接入 Plan-Execute-Replan 诊断流程,从而支撑自动故障排查与根因分析。3MIT
Matching MCP Connectors
接待に、会食に。創業60年以上の、銀座 の 一日一組 の 完全個室 の老舗 ふぐ料理店 、高級和食店 、ぎんざ姿 でございます。(fugusugata.jp の内容を検索して答える。ヨミタス経由)
銀座の一日一組の個室料理店、ぎんざ姿が提供する、天然とらふぐ料理と近江牛すき焼き・しゃぶしゃぶのネットショップ…(shop.ginzasugata.online の内容を検索して答える。ヨミタス経由)
- Extract invoice parties, dates, lines, totals and VAT as JSON for bookkeeping or matching. Use validate_invoice for compliance; this performs no OCR or recalculation. Supply one source: nonblank xml overrides document_base64 without inspecting it, so omit xml to extract a PDF's attachment. include_xml returns that selected source for archiving or validation, not XML reconstructed from fields. Extracted fields need mapping before use as generate_invoice input. Returns fields and format/profile metadata, plus PDF metadata for PDF input. Missing business values remain null; numeric values are strings. Missing input, invalid base64, malformed/unrecognized XML or a PDF without embedded XML returns a tool error, not an empty extraction. Requires a trial, prepaid or subscription allowance via OAuth or API key; success consumes one operation, errors consume none. Nothing is stored or sent.ConnectorAPI key
- Runs calculate_payslip for many employees in one call and returns the run totals: gross, employee deductions, net, and employer cost. Reach for this the moment more than two or three people are in play. A monthly payroll is not a sequence of unrelated questions — the employer share, the totals and the run id only mean anything across the whole run. Asking one employee at a time gives no total and no way to tell a retry from a second run. Put anything shared in defaults (prefecture, business_type, column) and let each row carry only what differs, which is usually pay and age. A row that cannot be computed comes back in errors with its index and id while the rest of the run completes — do not discard a whole payroll over one bad row. The reply carries a run_id derived from the route and the exact input, so sending the same payroll twice gives the same id. Nothing is stored, so a retry cannot double-count.ConnectorNo auth
- Runs the annual 定時決定 for a whole payroll in one call, and reports which employees moved grade. 健康保険法第41条 puts every insured employee on the same schedule — the average of April, May and June pay, over the months with at least seventeen payment-basis days, applied from September to the following August. So June is the one month of the year when an office decides its entire payroll at once, and asking about one employee at a time is the wrong shape for the task. Reach for this the moment more than a couple of employees are in play. Each row returns the same judgement as decide_regular_remuneration, plus whether that person changed grade, which is what decides how much filing there is. Pass previous_remuneration to get that comparison; without it the answer is null rather than false, because "no grade to compare" and "did not move" are different facts. Pass acquired_on, left_on or revision_month and each row also says whether that employee is filed at all. 健康保険法第41条 leaves out anyone insured between 1 June and 1 July, anyone gone before the 1 July reference date, and anyone revised from July to September. The run totals to_file and not_required, which is the number of forms rather than the number of employees. A row that cannot be decided is returned in errors with its index and id, and the rest of the run still completes — do not discard a whole run over one bad row.ConnectorNo auth
- What one employee costs an employer over a year, bonuses included. Reach for this rather than multiplying a payslip by twelve, because the two do not agree once a bonus is paid. 健康保険法第45条 caps the standard bonus cumulatively across the year — 5,730,000 from 1 April to 31 March — so the same bonus costs a different amount depending on where it falls, and once the year is used up later bonuses carry no health premium. 厚生年金保険法第24条の4 caps at 1,500,000 per payment with no yearly total, so pension keeps charging where health has stopped. Pass bonuses in the order they are paid: the health allowance fills from the first one. Each row comes back with what was counted, whether it was cut, and how much of the year remains, so the answer can be explained rather than just quoted. Income tax here is the monthly figure times twelve. Bonus withholding is a separate calculation (calculate_bonus with include_tax) and the year-end adjustment is a separate tool (calculate_year_end_adjustment) — say so rather than presenting this as take-home pay for the year.ConnectorNo auth
- Decides whether someone is covered by health and pension insurance, and on which payment-basis day count their annual determination runs. Call this before decide_regular_remuneration or judge_monthly_revision whenever the person is anything other than plainly full-time. Those tools take a worker_type, and guessing it changes a real number: the determination counts months of seventeen payment-basis days for an ordinary employee and eleven for a 短時間労働者. Get the classification wrong and the answer is wrong with no sign of it. 健康保険法第3条第1項第9号 covers anyone whose weekly hours and monthly days reach three-quarters of a comparable full-time worker. Below that, four further tests decide it: twenty hours a week, 88,000 yen a month, not a student, and a workplace of at least fifty-one insured people. The engagement must also be expected to run past two months. The 88,000 figure leaves out overtime, bonuses, commuting and family allowances. Folding those in is the usual route to a wrong answer, so ask for 所定内賃金 specifically rather than total pay. What counts as a comparable full-time worker, and whether someone is a student for this purpose, are facts about the workplace and the person. Ask rather than assume; the tool applies the tests to what you pass and names any it could not evaluate.ConnectorNo auth
- Returns the full text of a Japanese statutory provision, as published by e-Gov. The judgement tools name the statute or notice their answer rests on, but not its words. Use this to quote the provision itself — a citation the reader can check beats a citation they have to take on trust, and Japanese payroll advice is routinely wrong in ways that only reading the article reveals. Only the provisions this API cites are bundled (about 28 across 8 laws); call it with no ref to list them. Abbreviations as practitioners write them (健保法43条, 厚年法81条の2, 徴収法11条), a missing 第, and paragraph-level references all resolve to the article. For anything outside this set, say so rather than reciting it from memory.ConnectorNo auth
- Attach a small file (mockup, diagram, screenshot, PDF) to a GOAL as a description attachment — NOT evidence: it is not bound to any acceptance criterion, is never judged and never counts toward closing the goal. Returns {attachment.url, attachment.markdown}; paste `markdown` into the goal description (goal-update description) and the web UI renders images inline. contentBase64 is reliable only for payloads ≤ ~1 KB (long string arguments get truncated on the agent side before the request is sent). For anything bigger call goal-request-upload with goalId and stream the file with a single PUT — same result shape, no base64.ConnectorNo auth
- Reads one owned study plan, stable task ids, completion state and revision. A plan that is still being built reports pending with a retry delay, so poll this after create_study_plan rather than creating again. Use its revision for task changes. Reading older plans never changes them.ConnectorNo auth
- Fetch one page of an X account's timeline. identifier is a screen name, profile URL, or numeric id (auto-detected). mode picks the view: posts (default) is the account's own tweets, posts_and_replies includes their replies, highlights is the account's pinned highlights tab. include_retweets (default true) filters retweets out when false. Costs 4 credits per page; a cursor page is a NEW call priced the same way. Returns tweet summaries with engagement counts and a cursor for older tweets. Use this for 'what has X been posting', voice checks before outreach, or drafting replies in an account's register. For keyword search across all of X use x_search; for one specific tweet you already have, x_get_tweet.ConnectorOAuth
- Files a concierge switch request with the complete contract data in one call. Intended for autonomous agents that already hold the user's full profile, IBAN and a standing authorization; in a conversation with a person, start-booking opens a form in which the user enters these data. Commerce for Agents stores the request encrypted and an operator submits the contract application to the provider; the user receives a confirmation email at once and the provider's contract documents later. There is no self-service checkout link. Input: the `ref` of the chosen offer plus the contract data. Postal code and city come from the comparison; previousProvider, previousCustomerNumber and meterNumber are printed on the last energy bill. `consent: true` attests that the user explicitly agreed to (1) Commerce for Agents submitting the contract on their behalf, (2) the SEPA direct-debit mandate for the given IBAN and (3) the privacy policy at commerceforagents.com/privacy, either by an explicit yes in the conversation or by a standing authorization given to the agent. The response contains nextSteps for the user.ConnectorDestructiveNo auth
- Generate a spec-compliant llms.txt (and optionally llms-full.txt) for a domain by reading its sitemap, sampling up to `max_pages` pages, and synthesizing a grouped, sectioned summary. Read-only. Issues one HTTP GET for the sitemap then one per sampled page. Deterministic; no LLM. Output is the file content as a string - this tool does NOT write to disk or upload anywhere. The caller is responsible for hosting the resulting file at `https://<domain>/llms.txt`. When to use: bootstrapping llms.txt for a site you own. To check an existing llms.txt, use `llms_txt_validate` instead.ConnectorNo auth
- Use this when the user asks which of a creator's, competitor's or their own posts performed best or beat the account's normal, or what works for an account before writing. Scores the latest 20, 30, 50 or 100 posts against that account's own median and says by how much each beat it. About 3-4 credits for 30 posts on Instagram or TikTok, none on YouTube, more on Facebook. Longer runs return a `job_id` for xcut_get_job. Do not use for a full metrics table (use xcut_profile_analytics) or for a topic across many accounts (use xcut_search_viral).ConnectorNo auth
- Check a SEQUENCE of proposed actions against one mandate. Returns {submitted, allowed, denied, breach_by_rule, fingerprint}. Use for a whole plan or batch, not a single action — use drift_check for that. The fingerprint is the point: rewriting or reordering any earlier decision changes the hash, so tampering with history becomes visible instead of silent. Do NOT use it to execute the actions, or as evidence of what actually happened. It reports what was PROPOSED against a mandate you supply. Read-only. Idempotent for a fixed action list. Amounts in integer minor units, as in drift_check.ConnectorNo auth
- For you, the agent, right after your app connects: a short multilingual reading puzzle (5 min, one attempt). Then call finish_signup. [needs bearer token with scope: read]ConnectorNo auth
- Bots cannot do the selfie check. This returns a one-time 30-minute link for your human to open on a phone with a camera; the check runs on their device (MediaPipe), nothing is uploaded. Poll get_verification_status for the result.ConnectorNo auth