How do I install the internet context mcp server?

Use a recorded configuration for your client, replace example credential values and paths, and verify the documented runtime. Restart or reconnect the client, then inspect the available tools.

What credentials does it need?

It reads `BRAVE_SEARCH_API_KEY`, `INTERNET_CONTEXT_MCP_RERANK`, `INTERNET_CONTEXT_MCP_NLI`, `INTERNET_CONTEXT_MCP_EMBEDDINGS`, `INTERNET_CONTEXT_MCP_CACHE_DIR` from the environment. Store these in your client's env block or a secrets manager — never commit them to a repository — and grant the narrowest scope that still covers your use case.

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Internet Context MCP Server

Read-only MCP server giving AI agents the web as compact, ranked, verified evidence. Local cross-encoder reranker, NLI claim verification, semantic

Local serverstdioTypeScript

What is the Internet Context MCP Server?

Read-only MCP server giving AI agents the web as compact, ranked, verified evidence. Local cross-encoder reranker, NLI claim verification, semantic cross-source

What it actually does

Six read-only tools — web_research, web_context, web_search, web_read, web_verify, web_extract — plus MCP resources, prompts, and proper outputSchema / readOnlyHint metadata. Behind each tool: local BM25 ranking, a local cross-encoder reranker, a local NLI classifier, local sentence embeddings, a regex prompt-injection scanner, and a two-tier (in-memory + SQLite) fetch cache.

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

Recorded tools

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
web_research	One-shot research tool: search the web, fetch the top N results in parallel, rank chunks within each source (with the local reranker by default), then cross-rank globally and return a unified evidence pack with per-chunk
web_context	Fetches a URL, cleans it, splits it into chunks, ranks chunks against an agent task with a local BM25-style algorithm, and returns only the best evidence budget. This is the main token-reduction tool.
web_read	Fetches a URL, removes noisy page chrome, extracts the main content, and returns clean text plus token savings metadata.
web_search	Searches the web and returns compact, source-classified results.
web_verify	Checks whether a claim is supported, refuted, or unclear from one or more source URLs. Fetches each source, ranks chunks against the claim, and looks for explicit support or contradiction (with simple negation detection
web_extract	Best-effort generic field extraction from clean page text. This is intentionally secondary to web_context; in many agents, the better flow is to call web_context and let the host model reason over the returned evidence c

How to install the Internet Context MCP Server

{
  "mcpServers": {
    "internet-context": {
      "command": "npx",
      "args": ["-y", "internet-context-mcp"]
    }
  }
}

Configuration as documented by the project. Restart the client after saving.

Configuration

Variable	Description	Required
BRAVE_SEARCH_API_KEY	Credential the server authenticates with.	Yes
INTERNET_CONTEXT_MCP_RERANK	Configuration value read at startup.	Optional
INTERNET_CONTEXT_MCP_NLI	Configuration value read at startup.	Optional
INTERNET_CONTEXT_MCP_EMBEDDINGS	Configuration value read at startup.	Optional
INTERNET_CONTEXT_MCP_CACHE_DIR	Filesystem location the server is allowed to use.	Optional

Example prompts to try

“Use Internet Context MCP to web research.”
“Use Internet Context MCP to web context.”
“Use Internet Context MCP to web read.”

Frequently asked questions

Read-only MCP server giving AI agents the web as compact, ranked, verified evidence. Local cross-encoder reranker, NLI claim verification, semantic cross-source Confirm the tools offered by your installed version in the connected client. Tool availability and permissions depend on the server and account configuration.