Model Context Protocol Server for Mochow
Model Context Protocol Server for Mochow
在使用百度云向量数据库MCP Server之前,请确保你具备以下条件: 1. Python 3.10 或更高版本 2. 已安装uv用于运行MCP Server
Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.
Once 百度向量数据库 is connected, these are the calls the assistant has available:
list_databases — 列出数据库中所有的Databasecreate_database — 创建一个新的Databasedatabase_name — 待创建的Database名称use_database — 切换到一个已存在的Databaselist_tables — 列出数据库中所有的Tabledescribe_table — 获取指定Table的详细信息table_name — Table名称stats_table — 获取指定Table的统计信息delete_table_rows — 使用过滤表达式删除数据filter_expr — 过滤表达式select_table_rows — 使用过滤表达式查询数据limit — 查询结果的最大条数You will need one environment variable: MOCHOW_API_KEY. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
This sits in the database access group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. 百度向量数据库's toolset — list_databases, create_database, database_name and 11 more — is a fair guide to whether it matches your workflow. It is maintained by baidu; worth a glance at recent repository activity before you build anything load-bearing on it.
list_databases — 列出数据库中所有的Databasecreate_database — 创建一个新的Databasedatabase_name — 待创建的Database名称use_database — 切换到一个已存在的Databaselist_tables — 列出数据库中所有的Tabledescribe_table — 获取指定Table的详细信息table_name — Table名称stats_table — 获取指定Table的统计信息delete_table_rows — 使用过滤表达式删除数据filter_expr — 过滤表达式select_table_rows — 使用过滤表达式查询数据limit — 查询结果的最大条数output_fields — 查询结果中要返回的字段名create_vector_index — 在指定向量字段上创建向量索引This listing has no verified copy-paste launch configuration. Use the project documentation to confirm the entry point, runtime and authentication before registering it in your MCP client. A package name or repository alone is not a runnable configuration.
Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| list_databases | 列出数据库中所有的Database |
| create_database | 创建一个新的Database |
| database_name | 待创建的Database名称 |
| use_database | 切换到一个已存在的Database |
| list_tables | 列出数据库中所有的Table |
| describe_table | 获取指定Table的详细信息 |
| table_name | Table名称 |
| stats_table | 获取指定Table的统计信息 |
| delete_table_rows | 使用过滤表达式删除数据 |
| filter_expr | 过滤表达式 |
| select_table_rows | 使用过滤表达式查询数据 |
| limit | 查询结果的最大条数 |
| output_fields | 查询结果中要返回的字段名 |
| create_vector_index | 在指定向量字段上创建向量索引 |
| Variable | Description | Required |
|---|---|---|
| MOCHOW_API_KEY | Credential the server authenticates with. | Yes |
Read-only SQL access to Postgres — let your assistant inspect schemas and answer questions from real data.
Your workspace, on speaking terms with AI — search, read and write Notion pages and databases.
Manage your whole Supabase project in conversation — database, auth, storage, Edge Functions and branches.
Query, modify and analyse local SQLite databases in conversation — the fastest way to chat with a data file.
Metabase ships its own MCP endpoint — search your BI content, build and run queries, and save questions and dashboards without leaving the chat.
Official MongoDB server covering data, schemas and Atlas management — from find queries to spinning up clusters.