Blackmount Nlp Mcp

by blackMount-ai

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About

Blackmount NLP brings classical text analysis to any MCP client. 45 tools covering tokenization, stemming, readability scores (Flesch, Gunning Fog,

Explore

- 45 classical NLP tools with zero heavy dependencies
- Pure Python implementation using stdlib and regex
- Porter stemmer, TF-IDF, RAKE, and Levenshtein distance
- VADER-style sentiment analysis with 2000+ word lexicon
- Readability scores: Flesch, Gunning Fog, Coleman-Liau, ARI, SMOG
- Language detection across 18 languages via n-gram profiles

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name Blackmount Nlp Mcp

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "blackmount nlp mcp": {
            "blackmount-nlp": {
                "command": "uvx",
                "args": [
                    "blackmount-nlp-mcp"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "blackmount nlp mcp": {
            "blackmount-nlp": {
                "command": "uvx",
                "args": [
                    "blackmount-nlp-mcp"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "blackmount nlp mcp": {
            "blackmount-nlp": {
                "command": "uvx",
                "args": [
                    "blackmount-nlp-mcp"
                ]
            }
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "blackmount nlp mcp": {
            "blackmount-nlp": {
                "command": "uvx",
                "args": [
                    "blackmount-nlp-mcp"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "blackmount nlp mcp": {
            "blackmount-nlp": {
                "command": "uvx",
                "args": [
                    "blackmount-nlp-mcp"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "blackmount nlp mcp": {
            "blackmount-nlp": {
                "command": "uvx",
                "args": [
                    "blackmount-nlp-mcp"
                ]
            }
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "blackmount nlp mcp": {
            "blackmount-nlp": {
                "command": "uvx",
                "args": [
                    "blackmount-nlp-mcp"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "blackmount nlp mcp": {
            "blackmount-nlp": {
                "command": "uvx",
                "args": [
                    "blackmount-nlp-mcp"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "blackmount nlp mcp": {
            "blackmount-nlp": {
                "command": "uvx",
                "args": [
                    "blackmount-nlp-mcp"
                ]
            }
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "blackmount nlp mcp": {
            "blackmount-nlp": {
                "command": "uvx",
                "args": [
                    "blackmount-nlp-mcp"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "blackmount nlp mcp": {
            "blackmount-nlp": {
                "command": "uvx",
                "args": [
                    "blackmount-nlp-mcp"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "blackmount nlp mcp": {
            "blackmount-nlp": {
                "command": "uvx",
                "args": [
                    "blackmount-nlp-mcp"
                ]
            }
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "blackmount nlp mcp": {
            "blackmount-nlp": {
                "command": "uvx",
                "args": [
                    "blackmount-nlp-mcp"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "blackmount nlp mcp": {
            "blackmount-nlp": {
                "command": "uvx",
                "args": [
                    "blackmount-nlp-mcp"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "blackmount nlp mcp": {
            "blackmount-nlp": {
                "command": "uvx",
                "args": [
                    "blackmount-nlp-mcp"
                ]
            }
        }
    }
}

From the repository

```bash
pip install blackmount-nlp-mcp

Or run directly with uvx blackmount-nlp-mcp — no install needed.

Configure

Claude Desktop (claude_desktop_config.json), Cursor (.cursor/mcp.json), or any MCP client:

{
"mcpServers": {
"blackmount-nlp": {
"command": "uvx",
"args": ["blackmount-nlp-mcp"]
}
}
}

Tool Categories

- Tokenization — words, sentences, n-grams, stems
- Readability — Flesch, Flesch-Kincaid, Gunning Fog, Coleman-Liau, ARI, SMOG
- Sentiment — VADER-style with 2000+ word lexicon, polarity, subjectivity
- Keywords — TF-IDF, RAKE, frequency analysis
- Similarity — cosine, Jaccard, Levenshtein, fuzzy matching
- Cleaning — normalize, strip HTML, expand contractions, remove stopwords
- Language detection — 18 languages via n-gram profiles
- Summarization — extractive sentence ranking

Links

- PyPI: https://pypi.org/project/blackmount-nlp-mcp/
- GitHub: https://github.com/BlackMount-ai/blackmount-nlp-mcp
- More from Blackmount: https://app.blackmount.ai

MIT licensed.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "blackmount nlp mcp": {
            "blackmount-nlp": {
                "command": "uvx",
                "args": [
                    "blackmount-nlp-mcp"
                ]
            }
        }
    }
}

McpServers

{
    "blackmount-nlp": {
        "command": "uvx",
        "args": [
            "blackmount-nlp-mcp"
        ]
    }
}

45 classical NLP tools for any MCP client. Pure Python. 42KB wheel. Zero heavy dependencies. ## Why Most NLP packages drag in 500MB+ of models (spaCy, transformers, NLTK data). Blackmount NLP implements everything from scratch with stdlib + regex — Porter stemmer, TF-IDF, RAKE, Levenshtein, VADER-style sentiment, Flesch/Gunning Fog/Coleman-Liau/ARI/SMOG readability, n-gram language detection across 18 languages. Fast to install. Deterministic. No API keys. MIT licensed. ## Install ```bash pip install blackmount-nlp-mcp Or run directly with uvx blackmount-nlp-mcp — no install needed. Configure Claude Desktop (claude_desktop_config.json), Cursor (.cursor/mcp.json), or any MCP client: { "mcpServers": { "blackmount-nlp": { "command": "uvx", "args": ["blackmount-nlp-mcp"] } } } Tool Categories - Tokenization — words, sentences, n-grams, stems - Readability — Flesch, Flesch-Kincaid, Gunning Fog, Coleman-Liau, ARI, SMOG - Sentiment — VADER-style with 2000+ word lexicon, polarity, subjectivity - Keywords — TF-IDF, RAKE, frequency analysis - Similarity — cosine, Jaccard, Levenshtein, fuzzy matching - Cleaning — normalize, strip HTML, expand contractions, remove stopwords - Language detection — 18 languages via n-gram profiles - Summarization — extractive sentence ranking Links - PyPI: https://pypi.org/project/blackmount-nlp-mcp/ - GitHub: https://github.com/BlackMount-ai/blackmount-nlp-mcp - More from Blackmount: https://app.blackmount.ai MIT licensed.

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Setting up with Highlight

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