A Node.js tool to read and analyse Excel (.xlsx), CSV (.csv), and JSON (.json) files using MCP with automatic pagination support.
A Node.js tool to read and analyse Excel (.xlsx), CSV (.csv), and JSON (.json) files using MCP with automatic pagination support. The excel analyser mcp mcp server wraps that behind the Model Context Protocol, so an assistant can use it through 2 defined tools rather than through you.
A Node.js MCP server for reading and analyzing Excel (.xlsx), CSV (.csv), and JSON (.json) files. Supports multiple transport protocols (stdio, HTTP, SSE) and designed for scalable, chunked, and column/field-specific data access, making it ideal for AI agents and automation workflows that need to process large datasets efficiently.
Everything the assistant can do here goes through one of these:
Prerequisites — The Prerequisites tool exposed by this serverInstallation — The Installation tool exposed by this serverBeing a remote server, there is no local install. You register the endpoint with your client, authorise it once, and the tools appear.
Among the knowledge and memory options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Excel Analyser MCP's toolset — Prerequisites, Installation — is a fair guide to whether it matches your workflow. It is maintained by contactakagrawal; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Excel Analyser MCP's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| Prerequisites | The Prerequisites tool exposed by this server. |
| Installation | The Installation tool exposed by this server. |
{
"mcpServers": {
"Excel Analyser MCP": {
"type": "http",
"url": "https://web-production-64851.up.railway.app/mcp"
}
}
}Configuration as documented by the project. Restart the client after saving.
A knowledge graph your assistant keeps between sessions — entities, relations and observations that persist.
Kill hallucinated APIs — version-accurate, up-to-date library documentation injected straight into context.
Your workspace, on speaking terms with AI — search, read and write Notion pages and databases.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
Symbol-level code navigation, refactoring and memory for coding agents — the IDE brain your assistant has been missing.
Chat with your second brain — search, read and write vault notes through the Local REST API.