Vexa
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Anthropic Claude Messages API MCP server — chat, vision, web search, extended thinking
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
作者没有在注册中心列出安装信息。请查看下方作者的 README。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日
注册名称已通过 GitHub 账户 codeChap 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(0.1.0)于4个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。
同一分类中有:Vexa, emailmd, MCP WhatsApp Cloud
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Meeting bot and transcripts for Google Meet, Teams and Zoom. Live or after, speakers labelled.
Render markdown into email-safe HTML, lint drafts for deliverability problems, and preview emails.
MCP server for WhatsApp Cloud API (Meta) — messages, media, and templates via Graph API
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
An MCP (Model Context Protocol) server for the Anthropic Claude Messages API. Built in Rust, it exposes chat, vision, live web search, and model listing as MCP tools — so any MCP client (Claude Desktop, Claude Code, etc.) can consult Claude as a tool.
Communicates via stdio using JSON-RPC 2.0, like all the other MCP servers in this collection. Structurally it mirrors mcp-server-grok-chat / mcp-server-gpt-chat, adapted to Anthropic's API shape.
This server uses the Anthropic API with an API key (API credits). That is the only supported, terms-compliant way to drive Claude from a third-party tool.
A Claude Pro/Max subscription (the kind that powers Claude Code and the Claude apps) is *not* usable here: that authentication is licensed for Anthropic's own first-party clients, and routing it through a custom server would violate Anthropic's Consumer Terms — the "$200 of Claude usage from another service" concern you raised. So: API key it is. (If you run an Anthropic-compatible gateway, point base_url at it — see Configuration.)
| Tool | Description |
|---|---|
chat | Send a message to Claude. Supports multi-turn history, a system prompt, model selection, and extended thinking via thinking_budget. |
chat_with_vision | Analyse an image given an image URL and a text prompt. |
chat_with_search | Chat with live web search — Claude searches server-side and answers with cited sources. |
list_models | List available Claude models and their IDs (cached for 5 minutes). |
Note: Anthropic has no embeddings endpoint (they recommend Voyage AI), so unlike the grok/gpt servers there is no
embeddingtool.
| Name | Type | Required | Description |
|---|---|---|---|
prompt | string | yes | The user message to send |
system_prompt | string | no | System prompt to set context/behaviour |
messages | string | no | Conversation history as a JSON array of {role, content} objects (roles: user/assistant only — use system_prompt for system instructions) |
model | string | no | Model ID (default: server default, claude-opus-4-8). Call list_models. |
temperature | float | no | Sampling temperature (0.0–1.0). Ignored when thinking_budget is set. |
max_tokens | integer | no | Max tokens to generate (defaults to the server default) |
thinking_budget | integer | no | Enable extended thinking with this token budget (min 1024). Reasoning is returned in a [thinking] block; max_tokens is auto-raised above the budget. |
| Name | Type | Required | Description |
|---|---|---|---|
prompt | string | yes | Text prompt describing what to analyse |
image_url | string | yes | URL of the image (must be http:// or https://) |
model | string | no | Vision-capable model ID (default: server default) |
temperature | float | no | Sampling temperature (0.0–1.0) |
max_tokens | integer | no | Max tokens to generate |
| Name | Type | Required | Description |
|---|---|---|---|
prompt | string | yes | The user message |
system_prompt | string | no | System prompt |
model | string | no | Model ID (default: server default) |
temperature | float | no | Sampling temperature (0.0–1.0) |
max_tokens | integer | no | Max tokens to generate |
max_uses | integer | no | Max web searches Claude may run for this request (default: 5) |
Web search is billed by Anthropic at $10 per 1,000 searches on top of token costs, and an org admin must enable web search in the Claude Console.
No parameters. Results cached for 5 minutes.
mkdir -p ~/.config/mcp-server-claude-chat
cp config.toml.example ~/.config/mcp-server-claude-chat/config.toml
Config (~/.config/mcp-server-claude-chat/config.toml):
api_key = "sk-ant-..."
The server fails fast at startup if the config is missing or api_key is empty.
cargo build --release # produces target/release/claude-chat
cargo build # debug build cargo run # run in dev mode RUST_LOG=debug cargo run cargo test # unit tests (response formatting, validation, message building)
Claude Desktop (~/.config/Claude/claude_desktop_config.json) or any MCP client:
{
"mcpServers": { "claude-chat": { "command": "/media/codechap/4TB/develop/mcps/mcp-server-claude-chat/target/release/claude-chat" } } }
Claude Code:
claude mcp add claude-chat -- /media/codechap/4TB/develop/mcps/mcp-server-claude-chat/target/release/claude-chat
src/
main.rs - entry point, config loading, stdio transport setup server.rs - MCP tool definitions (chat, chat_with_vision, chat_with_search, list_models) api.rs - Anthropic HTTP client, Messages/Models types, response formatter params.rs - tool parameter types with serde + JSON Schema derives config.rs - TOML config loading
MIT