Datasets:
ArXiv:
License:
Dataset Preview
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed
Error code: DatasetGenerationError
Exception: ArrowInvalid
Message: JSON parse error: Column() changed from object to array in row 0
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 174, in _generate_tables
df = pandas_read_json(f)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 38, in pandas_read_json
return pd.read_json(path_or_buf, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 815, in read_json
return json_reader.read()
File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 1025, in read
obj = self._get_object_parser(self.data)
File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 1051, in _get_object_parser
obj = FrameParser(json, **kwargs).parse()
File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 1187, in parse
self._parse()
File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 1403, in _parse
ujson_loads(json, precise_float=self.precise_float), dtype=None
ValueError: Expected object or value
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1815, in _prepare_split_single
for _, table in generator:
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 177, in _generate_tables
raise e
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 151, in _generate_tables
pa_table = paj.read_json(
File "pyarrow/_json.pyx", line 308, in pyarrow._json.read_json
File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: JSON parse error: Column() changed from object to array in row 0
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1456, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1055, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 894, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 970, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1702, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1858, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
href
string | name
string | url
string | metadata
dict | github
dict |
|---|---|---|---|---|
/client/Windsurf/Codeium | Windsurf | https://windsurf.com/ | {
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"category": "developer-tools",
"content": "# Introducing the Windsurf Editor\r\n\r\nThe new purpose-built IDE to harness magic\r\n\r\n\r\n\r\nAn AI editor that doesn't just meet your needs, it anticipates them",
"created_at": "2025-04-17T04:12:00.273+00:00",
"description": "The new purpose-built IDE to harness magic",
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"status": "created",
"summary": "$31",
"tags": "ai-code,mcp-client",
"target": "_self",
"title": "Windsurf",
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"type": "client",
"updated_at": "2025-04-17T04:18:19.568+00:00",
"user_uuid": "99e3d7bf-d170-4ba2-a777-8227f06f83ba",
"uuid": "2dd949f6-dfee-4971-b36d-bdb947cf654d"
} | null |
/client/ChatWise/EGOIST | ChatWise | https://chatwise.app/ | {
"allow_call": false,
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"author_name": "EGOIST",
"avatar_url": "https://chatwise.app/_app/immutable/assets/icon.BlYxxTy5.png",
"category": "communication",
"content": "# ChatWise\r\n\r\nThe second fastest AI chatbotâ¢\r\n\r\n",
"created_at": "2025-04-17T01:34:23.47+00:00",
"description": "The second fastest AI chatbotâ¢",
"id": 9216,
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"status": "created",
"summary": "$31",
"tags": "chatbot,mcp-client",
"target": "_self",
"title": "ChatWise",
"tools": null,
"type": "client",
"updated_at": "2025-04-17T01:38:36.955+00:00",
"user_uuid": "99e3d7bf-d170-4ba2-a777-8227f06f83ba",
"uuid": "c38ad0cf-2638-427e-83c7-05c2c3104c4c"
} | null |
/client/Cursor/Cursor | Cursor | https://www.cursor.com/ | {
"allow_call": false,
"author_avatar_url": null,
"author_name": "Cursor",
"avatar_url": "https://mcp.so/icons/cursor.png",
"category": "developer-tools",
"content": "## The AI Code Editor\r\n\r\nBuilt to make you extraordinarily productive, Cursor is the best way to code with AI.\r\n\r\n## Tab, tab, tab\r\n\r\nCursor lets you breeze through changes by predicting your next edit.\r\n\r\n## Knows your codebase\r\n\r\nGet answers from your codebase or refer to files or docs. Use the modelâs code in one click.\r\n\r\n## Edit in natural language\r\n\r\nCursor lets you write code using instructions. Update entire classes or functions with a simple prompt.",
"created_at": "2025-04-17T01:27:51.794+00:00",
"description": "The AI Code Editor",
"id": 9215,
"img_url": null,
"is_featured": true,
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"sort": 9,
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"sse_provider": "k8s_rest",
"sse_url": "",
"status": "created",
"summary": "$31",
"tags": "cursor,ai-code-editor",
"target": "_self",
"title": "Cursor",
"tools": null,
"type": "client",
"updated_at": "2025-04-17T01:35:10.103+00:00",
"user_uuid": "99e3d7bf-d170-4ba2-a777-8227f06f83ba",
"uuid": "9187a845-8352-4961-af04-a5991391a6d4"
} | null |
/client/vscode/microsoft | vscode | https://github.com/microsoft/vscode | {
"allow_call": false,
"author_avatar_url": "https://avatars.githubusercontent.com/u/6154722?v=4",
"author_name": "microsoft",
"avatar_url": "https://avatars.githubusercontent.com/u/6154722?v=4",
"category": "developer-tools",
"content": "$31",
"created_at": "2025-04-05T17:02:35.838+00:00",
"description": "Visual Studio Code",
"id": 6671,
"img_url": "https://camo.githubusercontent.com/ea327406fe1c720fbef262f25205a9ac8dc594191bd3e4ae9ab03f0b774380d0/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f6973737565732f6d6963726f736f66742f7673636f64652f666561747572652d726571756573742e737667",
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"sort": 9,
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"sse_provider": "k8s_rest",
"sse_url": "",
"status": "created",
"summary": "$32",
"tags": "electron,microsoft,editor,typescript,visual-studio-code",
"target": "_self",
"title": "Visual Studio Code - Open Source (\"Code - OSS\")",
"tools": null,
"type": "client",
"updated_at": "2025-04-17T01:25:14.947+00:00",
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"uuid": "78c376bf-2e07-4539-8ea4-2240f17dbdd7"
} | {
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},
"last_commit": "2025-06-06T09:40:12Z",
"license": "MIT License",
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"stargazers_count": 173185
} |
/client/deepchat/ThinkInAI | deepchat | https://github.com/ThinkInAIXYZ/deepchat | {
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"author_avatar_url": null,
"author_name": "ThinkInAI",
"avatar_url": "https://deepchat.thinkinai.xyz/logo.png",
"category": "ai-chatbot",
"content": "$31",
"created_at": "2025-03-23T14:26:38.856+00:00",
"description": "Your AI Partner on Desktop",
"id": 4126,
"img_url": null,
"is_featured": true,
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"status": "created",
"summary": "$32",
"tags": "deepchat,chatbot,ai-assistant",
"target": "_self",
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"uuid": "c8efea40-46bc-4869-a376-3aa25b65e0d0"
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} |
/client/y-gui/luohy15 | y-gui | https://github.com/luohy15/y-gui | {
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"author_name": "luohy15",
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"content": "$31",
"created_at": "2025-03-20T07:25:31.28+00:00",
"description": "A web-based graphical interface for AI chat interactions with support for multiple AI models and MCP (Model Context Protocol) servers.",
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} |
/client/cherry-studio/CherryHQ | cherry-studio | https://github.com/cherryhq/cherry-studio | {
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"category": "developer-tools",
"content": "$31",
"created_at": "2025-03-12T14:20:35.923+00:00",
"description": "ð Cherry Studio is a desktop client that supports for multiple LLM providers.",
"id": 2357,
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"uuid": "a5c7c0e5-d1af-4058-888f-92781b90c043"
} | {
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} |
/client/HyperChat/BigSweetPotatoStudio | HyperChat | https://github.com/bigsweetpotatostudio/hyperchat | {
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"category": "communication",
"content": "$31",
"created_at": "2025-02-23T09:45:39.948+00:00",
"description": "HyperChat is a Chat client that strives for openness, utilizing APIs from various LLMs to achieve the best Chat experience, as well as implementing productivity tools through the MCP protocol.",
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End of preview.
MCPCorpus: A Large-Scale Evolvable Dataset for Model Context Protocol Ecosystem and Security Analysis
MCPCorpus is a comprehensive dataset for analyzing the Model Context Protocol (MCP) ecosystem, containing ~14K MCP servers and 300 MCP clients with 20+ normalized metadata attributes.
📊 Dataset Overview
- Scale: ~14K MCP servers + 300 MCP clients
- Attributes: 20+ normalized metadata per artifact
- Sources: GitHub, community hubs, package managers
- Applications: Ecosystem analysis, security research, interoperability studies
📁 Structure
MCPCorpus/
├── Crawler/ # Data collection tools
│ ├── Servers/ # Server data (mcpso_servers_cleaned.json)
│ ├── Clients/ # Client data (mcpso_clients_cleaned.json)
│ ├── github_info_collector.py # GitHub metadata collector
│ └── data_cleaner.py # Data normalization
└── Website/ # Web search interface
├── server.py # Local web server
└── index.html # Search interface
🚀 Quick Start
Explore Dataset
cd Website
python server.py
# Open http://localhost:8000
Access Data Programmatically
import json
import pandas as pd
# Load datasets
with open('Crawler/Servers/mcpso_servers_cleaned.json', 'r') as f:
servers = json.load(f)
with open('Crawler/Clients/mcpso_clients_cleaned.json', 'r') as f:
clients = json.load(f)
# Convert to DataFrame
servers_df = pd.DataFrame(servers)
clients_df = pd.DataFrame(clients)
Update Dataset (Optional)
# Collect new data
cd Crawler/Servers && python Server_request.py
cd ../Clients && python Client_request.py
# Add GitHub metadata
cd .. && python github_info_collector.py --token YOUR_GITHUB_TOKEN
📚 Citation
If you use MCPCorpus in your research, please cite it as:
@misc{lin2025largescaleevolvabledatasetmodel,
title={A Large-Scale Evolvable Dataset for Model Context Protocol Ecosystem and Security Analysis},
author={Zhiwei Lin and Bonan Ruan and Jiahao Liu and Weibo Zhao},
year={2025},
eprint={2506.23474},
archivePrefix={arXiv},
primaryClass={cs.CR},
url={https://arxiv.org/abs/2506.23474},
}
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