Sui Serverless MCP

scratchpad-mcp is an MCP server that gives AI agents persistent, token-efficient storage. It solves a specific waste problem: agents constantly re-read files they've already seen, re-summarize documents they've already processed, and re-load context they've already understood. Every one of those round-trips burns tokens for no new information. This server fixes that with eight tools designed around how agents actually work: Versioned writes. write_file automatically versions every write and keeps the 10 most recent versions per file. Storage is append-only on success and atomic on failure partial writes can't corrupt state. Structured diffs. read_file accepts a since_version parameter and returns a JSON line-diff against that prior version instead of the full content. Agents that have already seen v1 can ask "what changed in v3?" and get a small structured payload they can reason about, not the entire file again. Append-only logs. append_log and read_log give agents an event-stream they can replay. Cursor-based pagination (since_entry + last_entry_id + has_more) means an agent can checkpoint where it left off and resume cheaply. On-demand summaries. summarize_file calls Claude Haiku to summarize files over ~2000 estimated tokens. Summaries are cached per file version, so repeat calls on an unchanged file cost nothing. The threshold is enforced server-side you can't accidentally pay to summarize something small. Per-agent isolation. Every operation is scoped by an agent_id parameter, so one server instance can serve many agents without leaking state between them. Storage limits. 1 MB per file write, 64 KB per log entry, 1000 files / 100k log entries / 100 MB total per agent sane multi-tenant guardrails out of the box. Backed by a single SQLite file (Postgres migration is on the roadmap). All SQL is parameterized, paths are validated against a strict allowlist, and the security model is documented honestly it's safe for one-user-per-process deployments today, and the V2 plan derives agent_id from the caller's API key for true multi-tenancy. Build agents that remember what they've already seen.

Channel management and messaging capabilities

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Production-grade MCP server that opens persistent SSH sessions and exposes safe, structured tools for command execution, file operations, transfers, tunnels, package and service management, metrics, resources, and guided prompts. Secure by default: strict host-key verification, root login disabled, raw sudo policy-gated, destructive commands denied unless explicitly allowed.

agentcentral is a hosted MCP server for Amazon sellers that connects Claude, ChatGPT, and other AI clients to Amazon Ads, Seller Central, inventory, orders, catalog, rankings, finance, and fulfillment data. It provides fast reads from pre-materialized Amazon data, scoped API keys, OAuth-based Amazon connections, encrypted tokens, per-tenant isolation, and guarded write tools with audit logs where write access is enabled.

MCP server for interacting with Neon Management API and databases

One API for Search, Crawling, and Sitemaps

AnchorRegistry is the open provenance layer for the agentic economy. Every digital artifact — code, research, data, models, media, agents, transactions — can be anchored to Base L2 with a permanent, machine-resolvable identifier (an AR-ID). When an AI assistant encounters an SPDX-Anchor or DAPX-Anchor tag in a README, paper, model card, or website, this MCP server lets it resolve the artifact's full provenance record in one call: who anchored it, when, what type it is, manifest hash, and whether the tree has been sealed, retracted, voided, or affirmed. This is the verify-only edition (v0.1). Three read-only, authless tools wrap the public AnchorRegistry verify endpoints. Free, no API key, no account, no rate limit beyond defaults. Future versions will add registration, balance, and seal tools once the MCP credential pattern stabilizes.

Find your first SaaS users on Reddit, X, YouTube, and TikTok. Lead-discovery MCP for solo founders.

A Model Context Protocol server that provides time and timezone conversion capabilities. This server enables LLMs to get current time information and perform timezone conversions using IANA timezone names, with automatic system timezone detection.

A Model Context Protocol (MCP) server for image generation and manipulation using fal.ai's Stable Diffusion model.

An MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.

Dependency intelligence for AI coding agents. Live CVE scanning, dependency health, upgrade planning, ecosystem news, decision memory. 14 tools, zero config, privacy-first.

Lightweight MCP server for providing user prompts defined in Markdown with argument support.

GitLab API, enabling project management

O(1) authority-based validation across seven domains (chemistry, physics, mathematics, statistics, computer science, biology, governance). Replaces O(n²) consensus coordination. Four-gate pipeline: RED, FLOOR, BROTHERS, GOD. MCP server included — connects to Claude Desktop and Claude Code in one command. pip install concordance-engine

Audit-grade memory backbone for agent teams. Bi-temporal facts (event time + transaction time, with recall(as_of=...) replay), 6-step deterministic retrieval (no LLM in the critical path), conversation ingest with speaker-locked dual-pass extraction, per-tenant Postgres row-level security, and Ed25519-signed provenance. Postgres + pgvector + Neo4j defaults; ArangoDB / DynamoDB / Cosmos / AlloyDB also supported. Listed on the official MCP Registry as io.github.bolnet/attestor.

OpenAI-compatible proxy with PII scrubbing, audit logging, and model routing. Drop-in replacement — set OPENAI_BASE_URL to point to this server. Supports GPT-4o, Claude, Gemini, and Llama via single endpoint.

Secure file operations with configurable access controls

# 小奇智算 API 能力 | Xiaoqi Intelligent Calculation API Skill GET APIKEY：https://www.xiaoqizhisuan.cn/account.html GET HELP: https://www.xiaoqizhisuan.cn/help.html en: Official Xiaoqi Intelligent Calculation API for BaZi and Qi Men Dun Jia. This service requires XIAOQIZHISUAN_API_KEY credential for authentication. zh: 小奇智算官方API，提供八字、奇门遁甲测算服务，需配置XIAOQIZHISUAN_API_KEY密钥鉴权。 提供专业的奇门遁甲排盘与解盘服务，支持7个MCP工具： # 可用工具 | Available Tools ### 1. bazi_dayun - 八字大运查询 | BaZi Great Fortune Query ``` 价格 | Price: ¥0.2 / time / 次 参数 | Parameters: year (integer, 必填) 出生年（公历） month (integer, 必填) 出生月 day (integer, 必填) 出生日 hour (integer, 必填) 出生时（0-23） xingbie (string, 必填) 性别（"男" / "女"） 返回 | Return: success, cost, balance, bazi, dayun, error ``` 实测结果 | real test： https://www.xiaoqizhisuan.cn/examples/example_1_bazi_dayun.html ### 2. qimen_paipan - 奇门排盘（JSON 数据）| Qi Men Chart Generation (JSON Data) ``` 价格 | Price: ¥0.5 / time / 次 参数 | Parameters: year (integer, 必填) 年 month (integer, 必填) 月 day (integer, 必填) 日 hour (integer, 必填) 时（0-23） minute (integer, 选填, 默认0) 分 number (integer, 选填, 默认1) 排盘方法（1=拆补法, 2=置润法） 返回 | Return: success, cost, balance, 数据, error ``` 实测结果 | real test： https://www.xiaoqizhisuan.cn/examples/example_2_qimen_paipan.html ### 3. qimen_paipan_image - 奇门排盘+HTML网页图 | Qi Men Chart Generation + HTML Webpage Chart ``` 参数 | Parameters: year (integer, 必填) 年 month (integer, 必填) 月 day (integer, 必填) 日 hour (integer, 必填) 时（0-23） minute (integer, 选填, 默认0) number (integer, 选填, 默认1) 返回 | Return: success, cost, balance, 数据, html_url, error ``` 实测结果 | real test： https://www.xiaoqizhisuan.cn/examples/example_3_qimen_paipan_image.html ### 4. qimen_jiepan - 即时盘解析准备 | Immediate Chart Analysis Preparation ``` 价格 | Price: ¥1.0 / time / 次 参数 | Parameters: year, month, day, hour (integer, 必填) 起盘时间 minute (integer, 选填, 默认0) number (integer, 选填, 默认1) question (string, 必填) 返回 | Return: success, cost, balance, html_url, system_prompt, user_prompt, error ``` 实测结果 | real test： https://www.xiaoqizhisuan.cn/examples/example_4_qimen_jiepan.html ### 5. qimen_jiepan_lifetime - 终身盘解析准备 | Lifetime Chart Analysis Preparation ``` 价格 | Price: ¥1.2 / time / 次 参数 | Parameters: year, month, day, hour (integer, 必填) xingbie (string, 必填) 性别（"男"/"女"） minute (integer, 选填, 默认0) number (integer, 选填, 默认1) question (string, 必填) 返回 | Return: success, cost, balance, bazi, dayun, html_url, system_prompt, user_prompt, error ``` 实测结果 | real test： https://www.xiaoqizhisuan.cn/examples/example_5_qimen_jiepan_lifetime.html ### 6. qimen_full - 即时局完整解盘 | Complete Immediate Chart Interpretation ``` 价格 | Price: ¥1.5 / time / 次 参数 | Parameters: year, month, day, hour (integer, 必填) minute (integer, 选填, 默认0) number (integer, 选填, 默认1) question (string, 必填) 返回 | Return: success, cost, balance, html_url, system_prompt, user_prompt, jiepan_result, error ``` 实测结果 | real test： https://www.xiaoqizhisuan.cn/examples/example_6_qimen_full.html ### 7. qimen_full_lifetime - 终身局完整解盘 | Complete Lifetime Chart Interpretation ``` 价格 | Price: ¥2.0 / time / 次 参数 | Parameters: year, month, day, hour (integer, 必填) xingbie (string, 必填) 性别（"男"/"女"） minute (integer, 选填, 默认0) number (integer, 选填, 默认1) question (string, 必填) 返回 | Return: success, cost, balance, bazi, dayun, html_url, system_prompt, user_prompt, jiepan_result, error ``` 实测结果 | real test： https://www.xiaoqizhisuan.cn/examples/example_7_qimen_full_lifetime.html 🔗 https://www.xiaoqizhisuan.cn/mcp

Location services, directions, and place details

MCP server for AI industry intelligence: real-time AI news, service status, model pricing, and 15 paid premium tools (routing, news search, history series, cost projection, forecasting, provider deep-dive, model comparison, webhook watches). Pay-per-call in USDC on Base mainnet, no accounts. Already in the official MCP registry as ai.tensorfeed/mcp-server.

Plan Swiss train journeys from your AI assistant. Live SBB schedules with delays, prices in CHF with Halbtax / GA discounts, one-click booking on sbb.ch. Opens directly in the SBB Mobile app on phones.

QueueSim is a free MCP server that gives Claude, Cursor, and any MCP-speaking AI the ability to run real discrete event queueing simulations. Nine tools cover direct M/M/c, four preset scenarios (call center, ER, coffee shop, single server), staffing recommendations, scenario comparisons, theory explainers, and result interpretation. By ChiAha — 35 years of Discrete Event Simulation.